Isabel A. Nepomuceno-Chamorro
Isabel A. Nepomuceno-Chamorro
Lecturer Dpto LSI, Universidad de Sevilla
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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
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
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
Inferring gene regression networks with model trees
IA Nepomuceno-Chamorro, JS Aguilar-Ruiz, JC Riquelme
BMC bioinformatics 11, 1-12, 2010
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
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
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
A Java simulator for membrane computing
IÁ Nepomuceno Chamorro
Journal of Universal Computer Science, 10 (5), 620-629., 2004
A Java simulator for basic transition P systems
IÁ Nepomuceno Chamorro
Proceedings of the Second Brainstorming Week on Membrane Computing, 309-315 …, 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
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
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
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
Ten quick tips for biomarker discovery and validation analyses using machine learning
R Diaz-Uriarte, E Gómez de Lope, R Giugno, H Fröhlich, PV Nazarov, ...
PLOS Computational Biology 18 (8), e1010357, 2022
OCEAn: Ordinal classification with an ensemble approach
B Vega-Márquez, IA Nepomuceno-Chamorro, C Rubio-Escudero, ...
Information Sciences 580, 221-242, 2021
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
Updating prediction models for predictive process monitoring
AE Márquez-Chamorro, IA Nepomuceno-Chamorro, M Resinas, ...
International Conference on Advanced Information Systems Engineering, 304-318, 2022
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
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
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
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