Francisco Gómez-Vela

According to our database, Francisco Gómez-Vela authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Optimized Python library for reconstruction of ensemble-based gene co-expression networks using multi-GPU.

Aurelio López-Fernández, Francisco Antonio Gómez Vela, María del Saz-Navarro, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena

J. Supercomput., August, 2024

CyEnGNet - App: A new Cytoscape app for the reconstruction of large co-expression networks using an ensemble approach.

Dulcenombre M. Saz-Navarro, Aurelio López-Fernández, Francisco Antonio Gómez Vela, Domingo S. Rodríguez-Baena

SoftwareX, February, 2024

bioScience: A new python science library for high-performance computing bioinformatics analytics.

Aurelio López-Fernández, Francisco Antonio Gómez Vela, Jorge González-Domínguez, Parameshachari Bidare Divakarachari

SoftwareX, 2024

Breast Cancer Biomarker Analysis Using Gene Co-expression Networks.

Aurelio López-Fernández, Janire Gallejones-Eskubi, Dulcenombre M. Saz-Navarro, Francisco Antonio Gómez Vela

Proceedings of the Bioinformatics and Biomedical Engineering, 2024

2021

Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility.

Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, José Terrón-Bautista, Irene Delgado-Sainz, Francisco Gómez-Vela, Felipe Cortés-Ledesma

PLoS Comput. Biol., 2021

Technical analysis strategy optimization using a machine learning approach in stock market indices.

Jordan Ayala, Miguel García-Torres, José Luis Vázquez Noguera, Francisco Gómez-Vela, Federico Divina

Knowl. Based Syst., 2021

A multi-GPU biclustering algorithm for binary datasets.

Aurelio López-Fernández, Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Federico Divina, Miguel García-Torres

J. Parallel Distributed Comput., 2021

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach.

José A. Gallardo, Miguel García-Torres, Francisco Gómez-Vela, Félix Morales, Federico Divina, David Becerra-Alonso, Gustavo Velázquez, Federico Daumas-Ladouce, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román

Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Scatter search for high-dimensional feature selection using feature grouping.

Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, Diego P. Pinto-Roa, José Luis Vázquez Noguera, Julio César Mello Román

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Identifying livestock behavior patterns based on accelerometer dataset.

Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Miguel García-Torres, Federico Divina, Carlos D. Barranco, Norberto Díaz-Díaz, Manuel Jiménez, Gema Montalvo

J. Comput. Sci., 2020

Analysis of Student Achievement Scores via Cluster Analysis.

Viviana Elizabeth Jiménez Chaves, Miguel García-Torres, David Becerra-Alonso, Francisco Gómez-Vela, Federico Divina, Jose Luis Vazquez Noguera

Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020

2019

Ensemble and Greedy Approach for the Reconstruction of Large Gene Co-Expression Networks.

Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Domingo S. Rodríguez-Baena, Miguel García-Torres, Federico Divina

Entropy, 2019

Computational methods for Gene Regulatory Networks reconstruction and analysis: A review.

Fernando M. Delgado-Chaves, Francisco Gómez-Vela

Artif. Intell. Medicine, 2019

Analysis of Student Achievement Scores: A Machine Learning Approach.

Miguel García-Torres, David Becerra-Alonso, Francisco Antonio Gómez Vela, Federico Divina, Isabel López-Cobo, Francisco Martínez-Álvarez

Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2018

Structure Optimization for Large Gene Networks Based on Greedy Strategy.

Francisco Gómez-Vela, Domingo S. Rodríguez-Baena, Jose Luis Vazquez Noguera

Comput. Math. Methods Medicine, 2018

BIGO: A web application to analyse gene enrichment analysis results.

Aurelio López-Fernández, Domingo S. Rodríguez-Baena, Francisco Gómez-Vela, Norberto Díaz-Díaz

Comput. Biol. Chem., 2018

GNC-app: A new Cytoscape app to rate gene networks biological coherence using gene-gene indirect relationships.

Juan J. Diaz-Montana, Francisco Gómez-Vela, Norberto Díaz-Díaz

Biosyst., 2018

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach.

Pedro Manuel Martínez García, Miguel García-Torres, Federico Divina, Francisco Antonio Gómez Vela, Felipe Cortés-Ledesma

Proceedings of the Applications of Evolutionary Computation, 2018

2017

GFD-Net: A novel semantic similarity methodology for the analysis of gene networks.

Juan J. Diaz-Montana, Norberto Díaz-Díaz, Francisco Gómez-Vela

J. Biomed. Informatics, 2017

Bioinformatics from a Big Data Perspective: Meeting the Challenge.

Francisco Gómez-Vela, Aurelio López, José Antonio Lagares, Domingo S. Baena, Carlos D. Barranco, Miguel García-Torres, Federico Divina

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016

High-dimensional feature selection via feature grouping: A Variable Neighborhood Search approach.

Miguel García-Torres, Francisco Gómez-Vela, Belén Melián-Batista, J. Marcos Moreno-Vega

Inf. Sci., 2016

Incorporating biological knowledge for construction of fuzzy networks of gene associations.

Francisco Gómez-Vela, Carlos D. Barranco, Norberto Díaz-Díaz

Appl. Soft Comput., 2016

2015

Gene network coherence based on prior knowledge using direct and indirect relationships.

Francisco Gómez-Vela, José Antonio Lagares, Norberto Díaz-Díaz

Comput. Biol. Chem., 2015

2011

Gene-gene interaction based clustering method for microarray data.

Norberto Díaz-Díaz, Francisco Gómez-Vela, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Gene Regulatory Networks Validation Framework Based in KEGG.

Norberto Díaz-Díaz, Francisco Gómez-Vela, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Pattern Recognition in Biological Time Series.

Francisco Gómez-Vela, Francisco Martínez-Álvarez, Carlos D. Barranco, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz

Proceedings of the Advances in Artificial Intelligence, 2011

Gene Networks Validation based on Metabolic Pathways.

Francisco Gómez-Vela, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz

Proceedings of the 11th IEEE International Conference on Bioinformatics and Bioengineering, 2011