Isabel A. Nepomuceno

Profesora Titular de Universidad

2020

Nepomuceno-Chamorro, I A; Vega-Márquez, B; Galván-Rojas, J L; Rubio-Escudero, C; Nepomuceno, J A

Using Prior Knowledge in the Inference of Gene Association Networks Artículo de revista

En: Applied Intelligence, 2020, (JCR (2018): 2.882).

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Vega-Márquez, B; Nepomuceno-Chamorro, I; Jurado-Campos, N; Rubio-Escudero, C

Deep Learning Techniques to Improve the Performance of Olive Oil Classification Artículo de revista

En: Frontiers in Chemistry, vol. 7, pp. 929, 2020, (JCR (2018): 3.782).

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2018

Nepomuceno, J A; Troncoso, A; Nepomuceno-Chamorro, I A; Aguilar-Ruiz, J S

Pairwise gene GO-based measures for biclustering of high-dimensional expression data Artículo de revista

En: BioData mining, vol. 11, no 4, 2018, (JCR(2018): 2.301).

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Nepomuceno, J; Troncoso-Lora, A; Nepomuceno-Chamorro, I A; Aguilar-Ruiz, J

Pairwise gene GO-based measures for biclustering of high-dimensional expression data Artículo de revista

En: Biodata Mining, vol. 11, no 1, pp. 1-4, 2018, (JCR(2016): 1,57).

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2017

Rubio-Escudero, C; Valverde-Fernandez, J; Rodríguez-Herrera, A; Nepomuceno-Chamorro, I; Hernández-Mendoza, Y; Pontes-Balanza, B

Data mining techniques applied to hydrogen lactose breath test Artículo de revista

En: PLOS ONE, vol. 12, no 1, 2017, (IF: 3.057, Q1 11/56).

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Martínez-Ballesteros, M; García-Heredia, J M; Nepomuceno-Chamorro, I; Riquelme, J C

Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources Artículo de revista

En: Information Fusion, vol. 36, pp. 114-129, 2017, (JCR (2015): 4.353, Q1).

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2016

Nepomuceno-Chamorro, I A

Model tree to improve the inference of gene association networks Artículo de revista

En: AI Communications, vol. 29, no 4, pp. 547-549, 2016, (JCR (2015): 0.364 Q4 126/134 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).

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2015

Nepomuceno-Chamorro, I A; Márquez, A E; Ruiz, J S Aguilar

Building transcriptional association networks in Cytoscape with RegNetC Artículo de revista

En: IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no 4, pp. 823-4, 2015, (IF: 1.609 Q1 26/123 STATISTICS & PROBABILITY, Q2 32/101 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS).

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Nepomuceno, J A; Troncoso-Lora, A; Nepomuceno-Chamorro, I A; Aguilar-Ruiz, J

Integrating biological knowledge based on functional annotations for biclustering of gene expression data Artículo de revista

En: Computer Methods and Programs in Biomedicine, vol. 119, no 3, pp. 163-180, 2015, (JCR (2015): 1.862 Q1 16/105 Computer Science, Theory and Methods).

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2014

Martínez-Ballesteros, M; Nepomuceno-Chamorro, I A; Riquelme, J C

Discovering gene association networks by multi-objective evolutionary quantitative association rules Artículo de revista

En: Journal of Computer and Systems Sciences, vol. 89, no 1, pp. 118-136, 2014, (JCR (2014): , Q2).

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Rodius, S; Nazarov, P V; Nepomuceno-Chamorro, I A; Jeanty, C; González-Rosa, J M; Ibberson, M; da R.M., Benites Costa; I., Xenarios; N., Mercader; F., Azuaje

Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models. Artículo de revista

En: BMC Genomics, vol. 15, no 896, pp. 852-867, 2014, (IF: 26/163 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY).

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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

Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy Artículo de revista

En: Radiotherapy Oncology, vol. 111, no 1, pp. S30, 2014, (IF: 4.317, Q1 11/125).

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2011

Nepomuceno-Chamorro, I A; Azuaje, F; Devaux, Y; Nazarov, P V; Muller, A; Aguilar-Ruiz, J S; Dr., Wagner

Prognostic transcriptional association networks: A new supervised approach based on regression trees Artículo de revista

En: Bioinformatics, vol. 27, no 2, pp. 252-258, 2011, (IF: 5.468 15/158 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY).

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Aguilar-Ruiz, J S; í, Rodr D; Diaz-Diaz, N; Nepomuceno, I

CARGENE: Characterization of Set of Genes based on Metabolic Pathway Analysis Artículo de revista

En: International Journal of Data Mining and Bioinformatics, vol. 5, no 5, pp. 558-573, 2011, (IF: 0.429 Q4 44/46 MATHEMATICAL & COMPUTATIONAL BIOLOGY).

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2010

Nepomuceno-Chamorro, I A; Aguilar-Ruiz, J S; Jc., Riquelme

Inferring gene regression networks with model trees Artículo de revista

En: BMC Bioinformatics, vol. 11, pp. 517-529, 2010, (IF: Q1 4/37 MATHEMATICAL & COMPUTATIONAL BIOLOGY, Q2 57/158 BIOTECHNOLOGY & APPLIED MICROBIOLOGY).

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