| Inferring gene regression networks with model trees IA Nepomuceno-Chamorro, JS Aguilar-Ruiz, JC Riquelme BMC bioinformatics 11, 1-12, 2010 | 38 | 2010 |
| Discovering gene association networks by multi-objective evolutionary quantitative association rules M Martínez-Ballesteros, IA Nepomuceno-Chamorro, JC Riquelme Journal of Computer and System Sciences 80 (1), 118-136, 2014 | 37 | 2014 |
| Integrating biological knowledge based on functional annotations for biclustering of gene expression data JA Nepomuceno, A Troncoso, IA Nepomuceno-Chamorro, ... Computer methods and programs in biomedicine 119 (3), 163-180, 2015 | 35 | 2015 |
| Creation of synthetic data with conditional generative adversarial networks B Vega-Márquez, C Rubio-Escudero, JC Riquelme, ... 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 27 | 2020 |
| Machine learning techniques to discover genes with potential prognosis role in Alzheimer’s disease using different biological sources M Martínez-Ballesteros, JM García-Heredia, IA Nepomuceno-Chamorro, ... Information Fusion 36, 114-129, 2017 | 24 | 2017 |
| Deep learning techniques to improve the performance of olive oil classification B Vega-Márquez, I Nepomuceno-Chamorro, N Jurado-Campos, ... Frontiers in chemistry 7, 929, 2020 | 21 | 2020 |
| Prognostic transcriptional association networks: a new supervised approach based on regression trees I Nepomuceno-Chamorro, F Azuaje, Y Devaux, PV Nazarov, A Muller, ... Bioinformatics 27 (2), 252-258, 2011 | 18 | 2011 |
| A Java simulator for membrane computing IÁ Nepomuceno Chamorro Journal of Universal Computer Science, 10 (5), 620-629., 2004 | 18 | 2004 |
| A Java simulator for basic transition P systems IÁ Nepomuceno Chamorro Proceedings of the Second Brainstorming Week on Membrane Computing, 309-315 …, 2004 | 15 | 2004 |
| Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models S Rodius, PV Nazarov, IA Nepomuceno-Chamorro, C Jeanty, ... BMC genomics 15, 1-15, 2014 | 13 | 2014 |
| Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market B Vega-Márquez, C Rubio-Escudero, IA Nepomuceno-Chamorro, ... Applied Sciences 11 (13), 6097, 2021 | 9 | 2021 |
| Pairwise gene GO-based measures for biclustering of high-dimensional expression data JA Nepomuceno, A Troncoso, IA Nepomuceno-Chamorro, ... BioData mining 11 (1), 1-19, 2018 | 8 | 2018 |
| Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure JA Nepomuceno, A Troncoso, IA Nepomuceno-Chamorro, ... Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 8 | 2016 |
| A tool for using the SBML format to represent P systems which model biological reaction networks I Nepomuceno, JA Nepomuceno, FJ Romero-Campero, ... Third Brainstorming Week on Membrane Computing, 219-228, 2005 | 8 | 2005 |
| Inferring gene-gene associations from quantitative association rules M Martínez-Ballesteros, I Nepomuceno-Chamorro, JC Riquelme 2011 11th International Conference on Intelligent Systems Design and …, 2011 | 7 | 2011 |
| CarGene: Characterisation of sets of genes based on metabolic pathways analysis JS Aguilar-Ruiz, DS Rodriguez-Baena, N Diaz-Diaz, ... International journal of data mining and bioinformatics 5 (5), 558-573, 2011 | 7 | 2011 |
| Data mining techniques applied to hydrogen lactose breath test C Rubio-Escudero, J Valverde-Fernandez, I Nepomuceno-Chamorro, ... PloS one 12 (1), e0170385, 2017 | 6 | 2017 |
| Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy JLL Guerra, R Matute, F Puebla, A Sánchez-Reyes, B Pontes, C Rubio, ... Tumori Journal 101 (4), 461-468, 2015 | 6 | 2015 |
| Convolutional neural networks for olive oil classification B Vega-Márquez, A Carminati, N Jurado-Campos, A Martín-Gómez, ... From Bioinspired Systems and Biomedical Applications to Machine Learning …, 2019 | 5 | 2019 |
| Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data P Gundogdu, C Loucera, I Alamo-Alvarez, J Dopazo, I Nepomuceno BioData Mining 15, 1-21, 2022 | 4 | 2022 |
José C. RiquelmeUniversidad de SevillaVerified email at us.es
