Francisco Gómez-Vela

发表

Gene-gene interaction based clustering method for microarray data

Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez, Norberto Díaz-Díaz, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

gMSR: A Multi-GPU Algorithm to Accelerate a Massive Validation of Biclusters

Francisco Gómez-Vela, Aurelio López-Fernández, Domingo S. Rodriguez-Baena, 2020, Electronics.

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

Norberto Díaz-Díaz, Francisco Gómez-Vela, Juan J. Diaz-Montana, 2017, J. Biomed. Informatics.

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

Norberto Díaz-Díaz, Francisco Gómez-Vela, Juan J. Diaz-Montana, 2018, Biosyst..

Incorporating biological knowledge for construction of fuzzy networks of gene associations

Carlos D. Barranco, Norberto Díaz-Díaz, Francisco Gómez-Vela, 2016, Appl. Soft Comput..

Structure Optimization for Large Gene Networks Based on Greedy Strategy

Jose Luis Vazquez Noguera, Francisco Gómez-Vela, José Luis Vázquez Noguera, 2018, Comput. Math. Methods Medicine.

Computational Methods for the Analysis of Genomic Data and Biological Processes

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2020, Genes.

A multi-GPU biclustering algorithm for binary datasets

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021, J. Parallel Distributed Comput..

A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions

Federico Divina, Wim Vanhoof, Francisco Gómez-Vela, 2020, Genes.

Gene Networks Validation based on Metabolic Pathways

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Francisco Gómez-Vela, 2011, 2011 IEEE 11th International Conference on Bioinformatics and Bioengineering.

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

Francisco Gómez-Vela, Fernando M. Delgado-Chaves, Francisco Gómez-Vela, 2019, Artif. Intell. Medicine.

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

Belén Melián-Batista, J. Marcos Moreno-Vega, Francisco Gómez-Vela, 2016, Inf. Sci..

Identifying livestock behavior patterns based on accelerometer dataset

Federico Divina, Carlos D. Barranco, Norberto Díaz-Díaz, 2020, J. Comput. Sci..

Bioinformatics from a Big Data Perspective: Meeting the Challenge

Federico Divina, Carlos D. Barranco, Francisco Gómez-Vela, 2017, IWBBIO.

Pattern Recognition in Biological Time Series

Jesús S. Aguilar-Ruiz, Francisco Martínez-Álvarez, Carlos D. Barranco, 2011, CAEPIA.

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting

Federico Divina, Miguel García Torres, Francisco Gómez-Vela, 2018 .

A Comparative Study of Supervised Machine Learning Algorithms for the Prediction of Long-Range Chromatin Interactions

Federico Divina, Wim Vanhoof, Francisco Gómez-Vela, 2020, bioRxiv.

Special Issue on Machine Learning for Biomedical Data Analysis

Federico Divina, Francisco Gómez-Vela, 2019 .

BIGO: A web application to analyse gene enrichment analysis results

Norberto Díaz-Díaz, Francisco Gómez-Vela, Aurelio López-Fernández, 2018, Comput. Biol. Chem..

Gene Regulatory Networks Validation Framework Based in KEGG

Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Francisco Gómez-Vela, 2011, HAIS.

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

Norberto Díaz-Díaz, Francisco Gómez-Vela, José Antonio Lagares, 2015, Comput. Biol. Chem..

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

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2019, Entropy.

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021, SOCO.

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021 .

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

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021, Knowl. Based Syst..

Scatter search for high-dimensional feature selection using feature grouping

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021, GECCO Companion.

Parallel Evolutionary Biclustering of Short-term Electric Energy Consumption

Federico Divina, Francisco Gómez-Vela, Miguel García-Torres, 2021, Computer Science & Information Technology (CS & IT).