{"id":68,"date":"2018-12-03T15:34:08","date_gmt":"2018-12-03T14:34:08","guid":{"rendered":"http:\/\/grupo.us.es\/minerva\/?post_type=team&#038;p=68"},"modified":"2024-12-05T11:07:33","modified_gmt":"2024-12-05T10:07:33","slug":"isabel-a-nepomuceno-chamorro","status":"publish","type":"team","link":"https:\/\/grupo.us.es\/minerva\/equipo\/isabel-a-nepomuceno-chamorro\/","title":{"rendered":"Isabel A. Nepomuceno"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Sol\u00eds-Garc\u00eda, Javier;  Vega-M\u00e1rquez, Bel\u00e9n;  Nepomuceno, Juan A.;  Riquelme-Santos, Jos\u00e9 C.;  Nepomuceno-Chamorro, Isabel A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1617','tp_links')\" style=\"cursor:pointer;\">Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Intelligence, <\/span><span class=\"tp_pub_additional_volume\">vol. 53, <\/span><span class=\"tp_pub_additional_pages\">pp. 30691-30705, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1617','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1617','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1617\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/s10489-023-05124-z,<br \/>\r\ntitle = {Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study},<br \/>\r\nauthor = {Javier Sol\u00eds-Garc\u00eda and Bel\u00e9n Vega-M\u00e1rquez and Juan A. Nepomuceno and Jos\u00e9 C. Riquelme-Santos and Isabel A. Nepomuceno-Chamorro},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/s10489-023-05124-z},<br \/>\r\ndoi = {10.1007\/s10489-023-05124-z},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Applied Intelligence},<br \/>\r\nvolume = {53},<br \/>\r\npages = {30691-30705},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1617','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1617\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/s10489-023-05124-z\" title=\"https:\/\/doi.org\/10.1007\/s10489-023-05124-z\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s10489-023-05124-z<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s10489-023-05124-z\" title=\"DOI de seguimiento:10.1007\/s10489-023-05124-z\" target=\"_blank\">doi:10.1007\/s10489-023-05124-z<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1617','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Gundogdu, Pelin;  Pay\u00e1-Milans, Miriam;  Alamo-Alvarez, Inmaculada;  Nepomuceno-Chamorro, Isabel A.;  Dopazo, Joaquin;  Loucera, Carlos<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1619','tp_links')\" style=\"cursor:pointer;\">Cell-Level Pathway Scoring Comparison with\u00a0a\u00a0Biologically Constrained Variational Autoencoder<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 62-77, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1619','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1619\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1619','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1619\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42697-1_5,<br \/>\r\ntitle = {Cell-Level Pathway Scoring Comparison with\u00a0a\u00a0Biologically Constrained Variational Autoencoder},<br \/>\r\nauthor = {Pelin Gundogdu and Miriam Pay\u00e1-Milans and Inmaculada Alamo-Alvarez and Isabel A. Nepomuceno-Chamorro and Joaquin Dopazo and Carlos Loucera},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42697-1_5},<br \/>\r\ndoi = {10.1007\/978-3-031-42697-1_5},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {62-77},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1619','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1619\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-42697-1_5\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42697-1_5\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42697-1_5<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-42697-1_5\" title=\"DOI de seguimiento:10.1007\/978-3-031-42697-1_5\" target=\"_blank\">doi:10.1007\/978-3-031-42697-1_5<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1619','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Gundogdu, Pelin;  Alamo, Inmaculada;  Nepomuceno-Chamorro, Isabel A.;  Dopazo, Joaquin;  Loucera, Carlos<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/sigprimednet-a-signaling-informed-neural-network-for-scrna-seq-annotation-of-known-and-unknown-cell-types\/\">SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Biology, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_pages\">pp. 579, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1618\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1618','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1618\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1618','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1618\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.3390\/biology12040579,<br \/>\r\ntitle = {SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types},<br \/>\r\nauthor = {Pelin Gundogdu and Inmaculada Alamo and Isabel A. Nepomuceno-Chamorro and Joaquin Dopazo and Carlos Loucera},<br \/>\r\nurl = {https:\/\/doi.org\/10.3390\/biology12040579},<br \/>\r\ndoi = {10.3390\/biology12040579},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Biology},<br \/>\r\nvolume = {12},<br \/>\r\npages = {579},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1618','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1618\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.3390\/biology12040579\" title=\"https:\/\/doi.org\/10.3390\/biology12040579\" target=\"_blank\">https:\/\/doi.org\/10.3390\/biology12040579<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/biology12040579\" title=\"DOI de seguimiento:10.3390\/biology12040579\" target=\"_blank\">doi:10.3390\/biology12040579<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1618','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Diaz-Uriarte, Ramon; de Lope, Elisa G\u00f3mez;  Giugno, Rosalba;  Fr\u00f6hlich, Holger;  Nazarov, Petr V.;  Nepomuceno-Chamorro, Isabel A.;  Rauschenberger, Armin;  Glaab, Enrico<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1536','tp_links')\" style=\"cursor:pointer;\">Ten quick tips for biomarker discovery and validation analyses using machine learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">PLOS Computational Biology, <\/span><span class=\"tp_pub_additional_volume\">vol. 18, <\/span><span class=\"tp_pub_additional_number\">no 8, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-17, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1536','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1536\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1536','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1536\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{isa22,<br \/>\r\ntitle = {Ten quick tips for biomarker discovery and validation analyses using machine learning},<br \/>\r\nauthor = {Ramon Diaz-Uriarte and Elisa G\u00f3mez de Lope and Rosalba Giugno and Holger Fr\u00f6hlich and Petr V. Nazarov and Isabel A. Nepomuceno-Chamorro and Armin Rauschenberger and Enrico Glaab},<br \/>\r\nurl = {https:\/\/doi.org\/10.1371\/journal.pcbi.1010357},<br \/>\r\ndoi = {10.1371\/journal.pcbi.1010357},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {PLOS Computational Biology},<br \/>\r\nvolume = {18},<br \/>\r\nnumber = {8},<br \/>\r\npages = {1-17},<br \/>\r\npublisher = {Public Library of Science},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1536','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1536\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1371\/journal.pcbi.1010357\" title=\"https:\/\/doi.org\/10.1371\/journal.pcbi.1010357\" target=\"_blank\">https:\/\/doi.org\/10.1371\/journal.pcbi.1010357<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1371\/journal.pcbi.1010357\" title=\"DOI de seguimiento:10.1371\/journal.pcbi.1010357\" target=\"_blank\">doi:10.1371\/journal.pcbi.1010357<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1536','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> M\u00e1rquez-Chamorro, Alfonso E.;  Nepomuceno-Chamorro, Isabel A.;  Resinas, Manuel;  Ruiz-Cort\u00e9s, Antonio<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1620','tp_links')\" style=\"cursor:pointer;\">Updating Prediction Models for Predictive Process Monitoring<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 304-318, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1620\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1620','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1620\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1620','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1620\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-07472-1_18,<br \/>\r\ntitle = {Updating Prediction Models for Predictive Process Monitoring},<br \/>\r\nauthor = {Alfonso E. M\u00e1rquez-Chamorro and Isabel A. Nepomuceno-Chamorro and Manuel Resinas and Antonio Ruiz-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-07472-1_18},<br \/>\r\ndoi = {10.1007\/978-3-031-07472-1_18},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {304-318},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1620','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1620\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-07472-1_18\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-07472-1_18\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-07472-1_18<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-07472-1_18\" title=\"DOI de seguimiento:10.1007\/978-3-031-07472-1_18\" target=\"_blank\">doi:10.1007\/978-3-031-07472-1_18<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1620','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Diaz-Uriarte, Ramon; de Lope, Elisa Gomez;  Giugno, Rosalba;  Fr\u00f6hlich, Holger;  Nazarov, Petr;  Nepomuceno-Chamorro, Isabel;  Rauschenberger, Armin;  Glaab, Enrico<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1540','tp_links')\" style=\"cursor:pointer;\">Ten quick tips for biomarker discovery and validation analyses using machine learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">PLOS Computational Biology, <\/span><span class=\"tp_pub_additional_volume\">vol. 18, <\/span><span class=\"tp_pub_additional_pages\">pp. e1010357, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1540','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1540\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1540','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1540\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articleb,<br \/>\r\ntitle = {Ten quick tips for biomarker discovery and validation analyses using machine learning},<br \/>\r\nauthor = {Ramon Diaz-Uriarte and Elisa Gomez de Lope and Rosalba Giugno and Holger Fr\u00f6hlich and Petr Nazarov and Isabel Nepomuceno-Chamorro and Armin Rauschenberger and Enrico Glaab},<br \/>\r\ndoi = {10.1371\/journal.pcbi.1010357},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {PLOS Computational Biology},<br \/>\r\nvolume = {18},<br \/>\r\npages = {e1010357},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1540','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1540\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1371\/journal.pcbi.1010357\" title=\"DOI de seguimiento:10.1371\/journal.pcbi.1010357\" target=\"_blank\">doi:10.1371\/journal.pcbi.1010357<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1540','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Sol\u00ed\u00ads-Garc\u00ed\u00ada, Javier;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1541','tp_links')\" style=\"cursor:pointer;\">An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting<\/a> <span class=\"tp_pub_type tp_  inbook\">Cap\u00edtulo de libro<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_pages\">pp. 675-684, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-87868-9<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1541','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1541','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1541\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{inbook,<br \/>\r\ntitle = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting},<br \/>\r\nauthor = {Bel\u00e9n Vega and Javier Sol\u00ed\u00ads-Garc\u00ed\u00ada and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1007\/978-3-030-87869-6_64},<br \/>\r\nisbn = {978-3-030-87868-9},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\npages = {675-684},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1541','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1541\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-87869-6_64\" title=\"DOI de seguimiento:10.1007\/978-3-030-87869-6_64\" target=\"_blank\">doi:10.1007\/978-3-030-87869-6_64<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1541','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Sol\u00ed\u00ads-Garc\u00ed\u00ada, Javier;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1551','tp_links')\" style=\"cursor:pointer;\">An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting<\/a> <span class=\"tp_pub_type tp_  inbook\">Cap\u00edtulo de libro<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_pages\">pp. 675-684, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-87868-9<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1551\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1551','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1551\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1551','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1551\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{inbookb,<br \/>\r\ntitle = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting},<br \/>\r\nauthor = {Bel\u00e9n Vega and Javier Sol\u00ed\u00ads-Garc\u00ed\u00ada and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1007\/978-3-030-87869-6_64},<br \/>\r\nisbn = {978-3-030-87868-9},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\npages = {675-684},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1551','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1551\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-87869-6_64\" title=\"DOI de seguimiento:10.1007\/978-3-030-87869-6_64\" target=\"_blank\">doi:10.1007\/978-3-030-87869-6_64<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1551','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1542','tp_links')\" style=\"cursor:pointer;\">OCEAn: Ordinal Classification with an Ensemble Approach<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 580, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1542\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1542','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1542\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1542','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1542\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlec,<br \/>\r\ntitle = {OCEAn: Ordinal Classification with an Ensemble Approach},<br \/>\r\nauthor = {Bel\u00e9n Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and Jos\u00e9 Riquelme},<br \/>\r\ndoi = {10.1016\/j.ins.2021.08.081},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nvolume = {580},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1542','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1542\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ins.2021.08.081\" title=\"DOI de seguimiento:10.1016\/j.ins.2021.08.081\" target=\"_blank\">doi:10.1016\/j.ins.2021.08.081<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1542','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Rubio-Escudero, Cristina;  Nepomuceno-Chamorro, Isabel;  Arcos-Vargas, Angel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1543','tp_links')\" style=\"cursor:pointer;\">Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 6097, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1543\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1543','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1543\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1543','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1543\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articled,<br \/>\r\ntitle = {Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market},<br \/>\r\nauthor = {Bel\u00e9n Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro and Angel Arcos-Vargas},<br \/>\r\ndoi = {10.3390\/app11136097},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {11},<br \/>\r\npages = {6097},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1543','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1543\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/app11136097\" title=\"DOI de seguimiento:10.3390\/app11136097\" target=\"_blank\">doi:10.3390\/app11136097<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1543','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1554','tp_links')\" style=\"cursor:pointer;\">OCEAn: Ordinal Classification with an Ensemble Approach<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 580, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1554\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1554','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1554\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1554','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1554\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlem,<br \/>\r\ntitle = {OCEAn: Ordinal Classification with an Ensemble Approach},<br \/>\r\nauthor = {Bel\u00e9n Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and Jos\u00e9 Riquelme},<br \/>\r\ndoi = {10.1016\/j.ins.2021.08.081},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nvolume = {580},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1554','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1554\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ins.2021.08.081\" title=\"DOI de seguimiento:10.1016\/j.ins.2021.08.081\" target=\"_blank\">doi:10.1016\/j.ins.2021.08.081<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1554','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Rubio-Escudero, Cristina;  Nepomuceno-Chamorro, Isabel;  Arcos-Vargas, Angel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1555','tp_links')\" style=\"cursor:pointer;\">Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 6097, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1555\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1555','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1555\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1555','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1555\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlen,<br \/>\r\ntitle = {Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market},<br \/>\r\nauthor = {Bel\u00e9n Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro and Angel Arcos-Vargas},<br \/>\r\ndoi = {10.3390\/app11136097},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {11},<br \/>\r\npages = {6097},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1555','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1555\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/app11136097\" title=\"DOI de seguimiento:10.3390\/app11136097\" target=\"_blank\">doi:10.3390\/app11136097<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1555','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Pontes, Beatriz;  N\u00fa\u00f1ez-Benjumea, Francisco;  Rubio-Escudero, Cristina;  Conde, Alberto Moreno;  Nepomuceno, Isabel;  Moreno, Jes\u00fas;  Cacicedo, Jon;  Praena-Fern\u00e1ndez, J. M.;  Rodriguez, German;  Calder\u00f3n, Carlos Parra;  Le\u00f3n, Blas;  Campo, E.;  Cou\u00f1ago, Felipe;  Riquelme, Jos\u00e9;  Guerra, Jose Lopez<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1553','tp_links')\" style=\"cursor:pointer;\">A data mining based clinical decision support system for survival in lung cancer<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Reports of Practical Oncology and Radiotherapy, <\/span><span class=\"tp_pub_additional_volume\">vol. 26, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1553\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1553','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1553\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1553','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1553\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlel,<br \/>\r\ntitle = {A data mining based clinical decision support system for survival in lung cancer},<br \/>\r\nauthor = {Beatriz Pontes and Francisco N\u00fa\u00f1ez-Benjumea and Cristina Rubio-Escudero and Alberto Moreno Conde and Isabel Nepomuceno and Jes\u00fas Moreno and Jon Cacicedo and J. M. Praena-Fern\u00e1ndez and German Rodriguez and Carlos Parra Calder\u00f3n and Blas Le\u00f3n and E. Campo and Felipe Cou\u00f1ago and Jos\u00e9 Riquelme and Jose Lopez Guerra},<br \/>\r\ndoi = {10.5603\/RPOR.a2021.0088},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Reports of Practical Oncology and Radiotherapy},<br \/>\r\nvolume = {26},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1553','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1553\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.5603\/RPOR.a2021.0088\" title=\"DOI de seguimiento:10.5603\/RPOR.a2021.0088\" target=\"_blank\">doi:10.5603\/RPOR.a2021.0088<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1553','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, I A;  Vega-M\u00e1rquez, B;  Galv\u00e1n-Rojas, J L;  Rubio-Escudero, C;  Nepomuceno, J A<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/using-prior-knowledge-in-the-inference-of-gene-association-networks-2\/\">Using Prior Knowledge in the Inference of Gene Association Networks<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Intelligence, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018): 2.882)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1533\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1533','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1533\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1533','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1533\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Nepomuceno-Chamorro2020,<br \/>\r\ntitle = {Using Prior Knowledge in the Inference of Gene Association Networks},<br \/>\r\nauthor = {I A Nepomuceno-Chamorro and B Vega-M\u00e1rquez and J L Galv\u00e1n-Rojas and C Rubio-Escudero and J A Nepomuceno},<br \/>\r\ndoi = {10.1007\/s10489-020-01705-4},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-03-31},<br \/>\r\njournal = {Applied Intelligence},<br \/>\r\nnote = {JCR (2018): 2.882},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1533','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1533\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s10489-020-01705-4\" title=\"DOI de seguimiento:10.1007\/s10489-020-01705-4\" target=\"_blank\">doi:10.1007\/s10489-020-01705-4<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1533','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega-M\u00e1rquez, B;  Nepomuceno-Chamorro, I;  Jurado-Campos, N;  Rubio-Escudero, C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/deep-learning-techniques-to-improve-the-performance-of-olive-oil-classification-3\/\">Deep Learning Techniques to Improve the Performance of Olive Oil Classification<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Frontiers in Chemistry, <\/span><span class=\"tp_pub_additional_volume\">vol. 7, <\/span><span class=\"tp_pub_additional_pages\">pp. 929, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018): 3.782)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1530\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1530','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1530\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1530','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1530\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{B2020,<br \/>\r\ntitle = {Deep Learning Techniques to Improve the Performance of Olive Oil Classification},<br \/>\r\nauthor = {B Vega-M\u00e1rquez and I Nepomuceno-Chamorro and N Jurado-Campos and C Rubio-Escudero},<br \/>\r\ndoi = {10.3389\/fchem.2019.00929},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-17},<br \/>\r\njournal = {Frontiers in Chemistry},<br \/>\r\nvolume = {7},<br \/>\r\npages = {929},<br \/>\r\nnote = {JCR (2018): 3.782},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1530','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1530\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3389\/fchem.2019.00929\" title=\"DOI de seguimiento:10.3389\/fchem.2019.00929\" target=\"_blank\">doi:10.3389\/fchem.2019.00929<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1530','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Rubio-Escudero, Cristina;  Nepomuceno-Chamorro, Isabel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1544','tp_links')\" style=\"cursor:pointer;\">Generation of Synthetic Data with Conditional Generative Adversarial Networks<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Logic Journal of the IGPL, <\/span><span class=\"tp_pub_additional_volume\">vol. 30, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1544\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1544','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1544\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1544','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1544\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlee,<br \/>\r\ntitle = {Generation of Synthetic Data with Conditional Generative Adversarial Networks},<br \/>\r\nauthor = {Bel\u00e9n Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro},<br \/>\r\ndoi = {10.1093\/jigpal\/jzaa059},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Logic Journal of the IGPL},<br \/>\r\nvolume = {30},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1544','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1544\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/jigpal\/jzaa059\" title=\"DOI de seguimiento:10.1093\/jigpal\/jzaa059\" target=\"_blank\">doi:10.1093\/jigpal\/jzaa059<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1544','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, Isabel;  Nepomuceno, Juan;  Rojas, Jos\u00e9 Galv\u00e1n;  Vega, Bel\u00e9n;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1545','tp_links')\" style=\"cursor:pointer;\">Using prior knowledge in the inference of gene association networks<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Intelligence, <\/span><span class=\"tp_pub_additional_volume\">vol. 50, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1545\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1545','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1545\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1545','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1545\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlef,<br \/>\r\ntitle = {Using prior knowledge in the inference of gene association networks},<br \/>\r\nauthor = {Isabel Nepomuceno-Chamorro and Juan Nepomuceno and Jos\u00e9 Galv\u00e1n Rojas and Bel\u00e9n Vega and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1007\/s10489-020-01705-4},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Applied Intelligence},<br \/>\r\nvolume = {50},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1545','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1545\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s10489-020-01705-4\" title=\"DOI de seguimiento:10.1007\/s10489-020-01705-4\" target=\"_blank\">doi:10.1007\/s10489-020-01705-4<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1545','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Nepomuceno-Chamorro, Isabel;  Campos, Natividad;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1546','tp_links')\" style=\"cursor:pointer;\">Deep Learning Techniques to Improve the Performance of Olive Oil Classification<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Frontiers in Chemistry, <\/span><span class=\"tp_pub_additional_volume\">vol. 7, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1546\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1546','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1546\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1546','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1546\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articleg,<br \/>\r\ntitle = {Deep Learning Techniques to Improve the Performance of Olive Oil Classification},<br \/>\r\nauthor = {Bel\u00e9n Vega and Isabel Nepomuceno-Chamorro and Natividad Campos and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.3389\/fchem.2019.00929},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Frontiers in Chemistry},<br \/>\r\nvolume = {7},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1546','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1546\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3389\/fchem.2019.00929\" title=\"DOI de seguimiento:10.3389\/fchem.2019.00929\" target=\"_blank\">doi:10.3389\/fchem.2019.00929<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1546','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega-M\u00e1rquez, Bel\u00e9n;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9 C.;  Nepomuceno-Chamorro, Isabel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1624','tp_links')\" style=\"cursor:pointer;\">Creation of Synthetic Data with Conditional Generative Adversarial Networks<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 231-240, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1624','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1624','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1624\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-20055-8_22,<br \/>\r\ntitle = {Creation of Synthetic Data with Conditional Generative Adversarial Networks},<br \/>\r\nauthor = {Bel\u00e9n Vega-M\u00e1rquez and Cristina Rubio-Escudero and Jos\u00e9 C. Riquelme and Isabel Nepomuceno-Chamorro},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22},<br \/>\r\ndoi = {10.1007\/978-3-030-20055-8_22},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {231-240},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1624','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1624\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-20055-8_22\" title=\"DOI de seguimiento:10.1007\/978-3-030-20055-8_22\" target=\"_blank\">doi:10.1007\/978-3-030-20055-8_22<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1624','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega-M\u00e1rquez, Bel\u00e9n;  Carminati, Andrea;  Jurado-Campos, Natividad;  Mart\u00edn-G\u00f3mez, Andr\u00e9s;  Arce-Jim\u00e9nez, Lourdes;  Rubio-Escudero, Cristina;  Nepomuceno-Chamorro, Isabel A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1625','tp_links')\" style=\"cursor:pointer;\">Convolutional Neural Networks for Olive Oil Classification<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 137-145, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1625\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1625','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1625\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1625','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1625\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-19651-6_14,<br \/>\r\ntitle = {Convolutional Neural Networks for Olive Oil Classification},<br \/>\r\nauthor = {Bel\u00e9n Vega-M\u00e1rquez and Andrea Carminati and Natividad Jurado-Campos and Andr\u00e9s Mart\u00edn-G\u00f3mez and Lourdes Arce-Jim\u00e9nez and Cristina Rubio-Escudero and Isabel A. Nepomuceno-Chamorro},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-19651-6_14},<br \/>\r\ndoi = {10.1007\/978-3-030-19651-6_14},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {137-145},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1625','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1625\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-030-19651-6_14\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-19651-6_14\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-19651-6_14<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-19651-6_14\" title=\"DOI de seguimiento:10.1007\/978-3-030-19651-6_14\" target=\"_blank\">doi:10.1007\/978-3-030-19651-6_14<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1625','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno, J A;  Troncoso, A;  Nepomuceno-Chamorro, I A;  Aguilar-Ruiz, J S<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/pairwise-gene-go-based-measures-for-biclustering-of-high-dimensional-expression-data\/\">Pairwise gene GO-based measures for biclustering of high-dimensional expression data<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">BioData mining, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_number\">no 4, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR(2018): 2.301)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1531\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1531','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1531\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1531','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1531\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Nepomuceno2018,<br \/>\r\ntitle = {Pairwise gene GO-based measures for biclustering of high-dimensional expression data},<br \/>\r\nauthor = {J A Nepomuceno and A Troncoso and I A Nepomuceno-Chamorro and J S Aguilar-Ruiz},<br \/>\r\ndoi = {10.1186\/s13040-018-0165-9},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-03-27},<br \/>\r\njournal = {BioData mining},<br \/>\r\nvolume = {11},<br \/>\r\nnumber = {4},<br \/>\r\nnote = {JCR(2018): 2.301},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1531','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1531\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1186\/s13040-018-0165-9\" title=\"DOI de seguimiento:10.1186\/s13040-018-0165-9\" target=\"_blank\">doi:10.1186\/s13040-018-0165-9<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1531','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno, J;  Troncoso-Lora, A;  Nepomuceno-Chamorro, I A;  Aguilar-Ruiz, J<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1487','tp_links')\" style=\"cursor:pointer;\">Pairwise gene GO-based measures for biclustering of high-dimensional expression data<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Biodata Mining, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-4, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR(2016): 1,57)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1487\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1487','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1487\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1487','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1487\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ntna18,<br \/>\r\ntitle = {Pairwise gene GO-based measures for biclustering of high-dimensional expression data},<br \/>\r\nauthor = {J Nepomuceno and A Troncoso-Lora and I A Nepomuceno-Chamorro and J Aguilar-Ruiz},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1186\/s13040-018-0165-9},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\njournal = {Biodata Mining},<br \/>\r\nvolume = {11},<br \/>\r\nnumber = {1},<br \/>\r\npages = {1-4},<br \/>\r\nnote = {JCR(2016): 1,57},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1487','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1487\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1186\/s13040-018-0165-9\" title=\"DOI de seguimiento:https:\/\/doi.org\/10.1186\/s13040-018-0165-9\" target=\"_blank\">doi:https:\/\/doi.org\/10.1186\/s13040-018-0165-9<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1487','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Rubio-Escudero, C;  Valverde-Fernandez, J;  Rodr\u00edguez-Herrera, A;  Nepomuceno-Chamorro, I;  Hern\u00e1ndez-Mendoza, Y;  Pontes-Balanza, B<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1472','tp_links')\" style=\"cursor:pointer;\">Data mining techniques applied to hydrogen lactose breath test<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">PLOS ONE, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_year\">2017<\/span><span class=\"tp_pub_additional_note\">, (IF: 3.057, Q1 11\/56)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1472\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1472','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1472\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1472','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1472\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{rvrnhp17,<br \/>\r\ntitle = {Data mining techniques applied to hydrogen lactose breath test},<br \/>\r\nauthor = {C Rubio-Escudero and J Valverde-Fernandez and A Rodr\u00edguez-Herrera and I Nepomuceno-Chamorro and Y Hern\u00e1ndez-Mendoza and B Pontes-Balanza},<br \/>\r\ndoi = {10.1371\/journal.pone.0170385},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\njournal = {PLOS ONE},<br \/>\r\nvolume = {12},<br \/>\r\nnumber = {1},<br \/>\r\nnote = {IF: 3.057, Q1 11\/56},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1472','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1472\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1371\/journal.pone.0170385\" title=\"DOI de seguimiento:10.1371\/journal.pone.0170385\" target=\"_blank\">doi:10.1371\/journal.pone.0170385<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1472','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Garc\u00eda-Heredia, J M;  Nepomuceno-Chamorro, I;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1475','tp_links')\" style=\"cursor:pointer;\">Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Fusion, <\/span><span class=\"tp_pub_additional_volume\">vol. 36, <\/span><span class=\"tp_pub_additional_pages\">pp. 114-129, <\/span><span class=\"tp_pub_additional_year\">2017<\/span><span class=\"tp_pub_additional_note\">, (JCR (2015): 4.353, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1475\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1475','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1475\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1475','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1475\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mgnr17,<br \/>\r\ntitle = {Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and J M Garc\u00eda-Heredia and I Nepomuceno-Chamorro and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.inffus.2016.11.005},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\njournal = {Information Fusion},<br \/>\r\nvolume = {36},<br \/>\r\npages = {114-129},<br \/>\r\nnote = {JCR (2015): 4.353, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1475','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1475\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.inffus.2016.11.005\" title=\"DOI de seguimiento:10.1016\/j.inffus.2016.11.005\" target=\"_blank\">doi:10.1016\/j.inffus.2016.11.005<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1475','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2016\">2016<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, I A<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1466','tp_links')\" style=\"cursor:pointer;\">Model tree to improve the inference of gene association networks<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">AI Communications, <\/span><span class=\"tp_pub_additional_volume\">vol. 29, <\/span><span class=\"tp_pub_additional_number\">no 4, <\/span><span class=\"tp_pub_additional_pages\">pp. 547-549, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (JCR (2015): 0.364 Q4 126\/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1466\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1466','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1466\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1466','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1466\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{n16,<br \/>\r\ntitle = {Model tree to improve the inference of gene association networks},<br \/>\r\nauthor = {I A Nepomuceno-Chamorro},<br \/>\r\ndoi = {10.3233\/AIC-160700},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {AI Communications},<br \/>\r\nvolume = {29},<br \/>\r\nnumber = {4},<br \/>\r\npages = {547-549},<br \/>\r\nnote = {JCR (2015): 0.364 Q4 126\/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1466','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1466\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/AIC-160700\" title=\"DOI de seguimiento:10.3233\/AIC-160700\" target=\"_blank\">doi:10.3233\/AIC-160700<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1466','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2015\">2015<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, I A;  M\u00e1rquez, A E;  Ruiz, J S Aguilar<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1443','tp_links')\" style=\"cursor:pointer;\">Building transcriptional association networks in Cytoscape with RegNetC<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">IEEE\/ACM Transactions on Computational Biology and Bioinformatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_number\">no 4, <\/span><span class=\"tp_pub_additional_pages\">pp. 823-4, <\/span><span class=\"tp_pub_additional_year\">2015<\/span><span class=\"tp_pub_additional_note\">, (IF: 1.609 Q1 26\/123 STATISTICS &amp; PROBABILITY, Q2 32\/101 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1443\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1443','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1443\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1443','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1443\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nma15,<br \/>\r\ntitle = {Building transcriptional association networks in Cytoscape with RegNetC},<br \/>\r\nauthor = {I A Nepomuceno-Chamorro and A E M\u00e1rquez and J S Aguilar Ruiz},<br \/>\r\ndoi = {10.1109\/TCBB.2014.2385702},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-01-01},<br \/>\r\njournal = {IEEE\/ACM Transactions on Computational Biology and Bioinformatics},<br \/>\r\nvolume = {12},<br \/>\r\nnumber = {4},<br \/>\r\npages = {823-4},<br \/>\r\nnote = {IF: 1.609 Q1 26\/123 STATISTICS & PROBABILITY, Q2 32\/101 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1443','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1443\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TCBB.2014.2385702\" title=\"DOI de seguimiento:10.1109\/TCBB.2014.2385702\" target=\"_blank\">doi:10.1109\/TCBB.2014.2385702<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1443','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno, J A;  Troncoso-Lora, A;  Nepomuceno-Chamorro, I A;  Aguilar-Ruiz, J<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1446','tp_links')\" style=\"cursor:pointer;\">Integrating biological knowledge based on functional annotations for biclustering of gene expression data<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Computer Methods and Programs in Biomedicine, <\/span><span class=\"tp_pub_additional_volume\">vol. 119, <\/span><span class=\"tp_pub_additional_number\">no 3, <\/span><span class=\"tp_pub_additional_pages\">pp. 163-180, <\/span><span class=\"tp_pub_additional_year\">2015<\/span><span class=\"tp_pub_additional_note\">, (JCR (2015): 1.862 Q1 16\/105 Computer Science, Theory and Methods)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1446\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1446','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1446\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1446','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1446\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ntna15,<br \/>\r\ntitle = {Integrating biological knowledge based on functional annotations for biclustering of gene expression data},<br \/>\r\nauthor = {J A Nepomuceno and A Troncoso-Lora and I A Nepomuceno-Chamorro and J Aguilar-Ruiz},<br \/>\r\ndoi = {10.1016\/j.cmpb.2015.02.010},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-01-01},<br \/>\r\njournal = {Computer Methods and Programs in Biomedicine},<br \/>\r\nvolume = {119},<br \/>\r\nnumber = {3},<br \/>\r\npages = {163-180},<br \/>\r\nnote = {JCR (2015): 1.862 Q1 16\/105 Computer Science, Theory and Methods},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1446','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1446\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.cmpb.2015.02.010\" title=\"DOI de seguimiento:10.1016\/j.cmpb.2015.02.010\" target=\"_blank\">doi:10.1016\/j.cmpb.2015.02.010<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1446','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2014\">2014<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Nepomuceno-Chamorro, I A;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1425','tp_links')\" style=\"cursor:pointer;\">Discovering gene association networks by multi-objective evolutionary quantitative association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Journal of Computer and Systems Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 89, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 118-136, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (JCR (2014): , Q2)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1425\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1425','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1425\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1425','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1425\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mnr14,<br \/>\r\ntitle = {Discovering gene association networks by multi-objective evolutionary quantitative association rules},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and I A Nepomuceno-Chamorro and J C Riquelme},<br \/>\r\ndoi = {10.1016\/J.JCSS.2013.03.010},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {Journal of Computer and Systems Sciences},<br \/>\r\nvolume = {89},<br \/>\r\nnumber = {1},<br \/>\r\npages = {118-136},<br \/>\r\nnote = {JCR (2014): , Q2},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1425','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1425\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/J.JCSS.2013.03.010\" title=\"DOI de seguimiento:10.1016\/J.JCSS.2013.03.010\" target=\"_blank\">doi:10.1016\/J.JCSS.2013.03.010<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1425','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Rodius, S;  Nazarov, P V;  Nepomuceno-Chamorro, I A;  Jeanty, C;  Gonz\u00e1lez-Rosa, J M;  Ibberson, M; da R.M., Benites Costa;  I., Xenarios;  N., Mercader;  F., Azuaje<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1432','tp_links')\" style=\"cursor:pointer;\">Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models.<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">BMC Genomics, <\/span><span class=\"tp_pub_additional_volume\">vol. 15, <\/span><span class=\"tp_pub_additional_number\">no 896, <\/span><span class=\"tp_pub_additional_pages\">pp. 852-867, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (IF: 26\/163 Q1 BIOTECHNOLOGY &amp; APPLIED MICROBIOLOGY)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1432\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1432','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1432\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1432','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1432\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{rnnjgi,<br \/>\r\ntitle = {Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models.},<br \/>\r\nauthor = {S Rodius and P V Nazarov and I A Nepomuceno-Chamorro and C Jeanty and J M Gonz\u00e1lez-Rosa and M Ibberson and Benites Costa da R.M. and Xenarios I. and Mercader N. and Azuaje F.},<br \/>\r\ndoi = {10.1186\/1471-2164-15-852},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {BMC Genomics},<br \/>\r\nvolume = {15},<br \/>\r\nnumber = {896},<br \/>\r\npages = {852-867},<br \/>\r\nnote = {IF: 26\/163 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1432','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1432\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1186\/1471-2164-15-852\" title=\"DOI de seguimiento:10.1186\/1471-2164-15-852\" target=\"_blank\">doi:10.1186\/1471-2164-15-852<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1432','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jose, R;  Guerra, J L Lopez;  Matute, R;  Pontes, B;  Rubio, C;  Nepomuceno, I;  Puebla, F;  Praena-Fernandez, J M;  Gordillo, M J Ortiz;  Azinovic, I<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1424','tp_links')\" style=\"cursor:pointer;\">Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Radiotherapy Oncology, <\/span><span class=\"tp_pub_additional_volume\">vol. 111, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. S30, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (IF: 4.317, Q1 11\/125)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1424\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1424','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1424\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1424','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1424\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{jgmprnppga14,<br \/>\r\ntitle = {Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy},<br \/>\r\nauthor = {R Jose and J L Lopez Guerra and R Matute and B Pontes and C Rubio and I Nepomuceno and F Puebla and J M Praena-Fernandez and M J Ortiz Gordillo and I Azinovic},<br \/>\r\ndoi = {10.1016\/S0167-8140(15)30841-0},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {Radiotherapy Oncology},<br \/>\r\nvolume = {111},<br \/>\r\nnumber = {1},<br \/>\r\npages = {S30},<br \/>\r\nnote = {IF: 4.317, Q1 11\/125},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1424','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1424\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/S0167-8140(15)30841-0\" title=\"DOI de seguimiento:10.1016\/S0167-8140(15)30841-0\" target=\"_blank\">doi:10.1016\/S0167-8140(15)30841-0<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1424','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2011\">2011<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, I A;  Azuaje, F;  Devaux, Y;  Nazarov, P V;  Muller, A;  Aguilar-Ruiz, J S;  Dr., Wagner<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1404','tp_links')\" style=\"cursor:pointer;\">Prognostic transcriptional association networks: A new supervised approach based on regression trees<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Bioinformatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 27, <\/span><span class=\"tp_pub_additional_number\">no 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 252-258, <\/span><span class=\"tp_pub_additional_year\">2011<\/span><span class=\"tp_pub_additional_note\">, (IF: 5.468 15\/158 Q1 MATHEMATICAL &amp; COMPUTATIONAL BIOLOGY)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1404\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1404','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1404\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1404','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1404\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nadnmad11,<br \/>\r\ntitle = {Prognostic transcriptional association networks: A new supervised approach based on regression trees},<br \/>\r\nauthor = {I A Nepomuceno-Chamorro and F Azuaje and Y Devaux and P V Nazarov and A Muller and J S Aguilar-Ruiz and Wagner Dr.},<br \/>\r\ndoi = {10.1093\/bioinformatics\/btq645},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\njournal = {Bioinformatics},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {2},<br \/>\r\npages = {252-258},<br \/>\r\nnote = {IF: 5.468 15\/158 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1404','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1404\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/bioinformatics\/btq645\" title=\"DOI de seguimiento:10.1093\/bioinformatics\/btq645\" target=\"_blank\">doi:10.1093\/bioinformatics\/btq645<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1404','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Aguilar-Ruiz, J S;  \u00ed, Rodr D;  Diaz-Diaz, N;  Nepomuceno, I<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1399','tp_links')\" style=\"cursor:pointer;\">CARGENE: Characterization of Set of Genes based on Metabolic Pathway Analysis<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">International Journal of Data Mining and Bioinformatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 5, <\/span><span class=\"tp_pub_additional_number\">no 5, <\/span><span class=\"tp_pub_additional_pages\">pp. 558-573, <\/span><span class=\"tp_pub_additional_year\">2011<\/span><span class=\"tp_pub_additional_note\">, (IF: 0.429 Q4 44\/46 MATHEMATICAL &amp; COMPUTATIONAL BIOLOGY)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1399\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1399','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1399\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1399','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1399\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ardn11,<br \/>\r\ntitle = {CARGENE: Characterization of Set of Genes based on Metabolic Pathway Analysis},<br \/>\r\nauthor = {J S Aguilar-Ruiz and Rodr D \u00ed and N Diaz-Diaz and I Nepomuceno},<br \/>\r\ndoi = {10.1504\/IJDMB.2011.043033},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\njournal = {International Journal of Data Mining and Bioinformatics},<br \/>\r\nvolume = {5},<br \/>\r\nnumber = {5},<br \/>\r\npages = {558-573},<br \/>\r\nnote = {IF: 0.429 Q4 44\/46 MATHEMATICAL & COMPUTATIONAL BIOLOGY},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1399','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1399\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1504\/IJDMB.2011.043033\" title=\"DOI de seguimiento:10.1504\/IJDMB.2011.043033\" target=\"_blank\">doi:10.1504\/IJDMB.2011.043033<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1399','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2010\">2010<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nepomuceno-Chamorro, I A;  Aguilar-Ruiz, J S;  Jc., Riquelme<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1392','tp_links')\" style=\"cursor:pointer;\">Inferring gene regression networks with model trees<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">BMC Bioinformatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 517-529, <\/span><span class=\"tp_pub_additional_year\">2010<\/span><span class=\"tp_pub_additional_note\">, (IF: Q1 4\/37 MATHEMATICAL &amp; COMPUTATIONAL BIOLOGY, Q2 57\/158 BIOTECHNOLOGY &amp; APPLIED MICROBIOLOGY)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1392\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1392','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1392\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1392','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1392\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{naj10,<br \/>\r\ntitle = {Inferring gene regression networks with model trees},<br \/>\r\nauthor = {I A Nepomuceno-Chamorro and J S Aguilar-Ruiz and Riquelme Jc.},<br \/>\r\ndoi = {10.1186\/1471-2105-11-517},<br \/>\r\nyear  = {2010},<br \/>\r\ndate = {2010-01-01},<br \/>\r\njournal = {BMC Bioinformatics},<br \/>\r\nvolume = {11},<br \/>\r\npages = {517-529},<br \/>\r\nnote = {IF: Q1 4\/37 MATHEMATICAL & COMPUTATIONAL BIOLOGY, Q2 57\/158 BIOTECHNOLOGY & APPLIED MICROBIOLOGY},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1392','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1392\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1186\/1471-2105-11-517\" title=\"DOI de seguimiento:10.1186\/1471-2105-11-517\" target=\"_blank\">doi:10.1186\/1471-2105-11-517<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1392','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"author":1,"featured_media":706,"menu_order":6,"template":"","team_designation":[36],"team_department":[],"class_list":["post-68","team","type-team","status-publish","has-post-thumbnail","hentry","team_designation-profesora-titular-de-universidad","post-item clearfix"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team\/68","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team"}],"about":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/types\/team"}],"author":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media\/706"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media?parent=68"}],"wp:term":[{"taxonomy":"team_designation","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_designation?post=68"},{"taxonomy":"team_department","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_department?post=68"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}