Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network. - J. P. Florido; Héctor Pomares; Ignacio Rojas; José M. Urquiza; Francisco M. Ortuño Guzman (IWANN (2), 2011)

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data. - Francisco M. Ortuño Guzman; Ignacio Rojas; Héctor Pomares; José M. Urquiza; J. P. Florido (PACBB, 2011)

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; J. P. Florido; Francisco M. Ortuño Guzman (PACBB, 2011)

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. - Francisco M. Ortuño Guzman; Javier Perez-Florido; José M. Urquiza; Héctor Pomares; Alberto Prieto; Ignacio Rojas (IEEE Congress on Evolutionary Computation, 2012)

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG. - Olga Valenzuela; Fernando J. Rojas; Luis Javier Herrera; Francisco M. Ortuño Guzman; Héctor Pomares; Ignacio Rojas Ruiz (ISDA, 2013)

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features. - Francisco M. Ortuño Guzman; Olga Valenzuela; Héctor Pomares; Ignacio Rojas (IWANN (2), 2013)

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features. - Francisco M. Ortuño Guzman; Olga Valenzuela; Héctor Pomares; Ignacio Rojas (IWBBIO, 2013)

Using intelligent system for medical decision-making to magnetic resonance imaging. - Olga Valenzuela; Francisco M. Ortuño Guzman; Fernando Rojas 001; Héctor Pomares; José Luis Bernier; Luis Javier Herrera; Alberto Guillén (IWBBIO, 2013)

Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. . - Olga Valenzuela; Miguel Pasadas; Francisco M. Ortuño Guzman; Ignacio Rojas (IWBBIO, 2013)

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG. - Olga Valenzuela; Fernando J. Rojas; Luis Javier Herrera; Francisco M. Ortuño Guzman; Oresti Baños; Gonzalo Ruiz; Hind Tribak; Héctor Pomares; Ignacio Rojas Ruiz (SocialCom, 2013)

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns. - Francisco M. Ortuño Guzman; Olga Valenzuela; Fernando Rojas 001; Héctor Pomares; Javier Perez-Florido; José M. Urquiza; Ignacio Rojas (Bioinform., 2013)

Using cited references to improve the retrieval of related biomedical documents. - Francisco M. Ortuño Guzman; Ignacio Rojas; Miguel A. Andrade-Navarro; Jean-Fred Fontaine (BMC Bioinform., 2013)

An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks. - Javier Perez-Florido; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Francisco M. Ortuño Guzman; José M. Urquiza (Neurocomputing, 2013)

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment. - Francisco M. Ortuño Guzman; Héctor Pomares; Ignacio Rojas Ruiz; Olga Valenzuela (CBMS, 2014)

Advances in bioinformatics using soft-computing paradigms. - Olga Valenzuela; Fernando Rojas 001; Francisco M. Ortuño Guzman; José Luis Bernier; María José Saéz-Lara; Belén San Román; Luis Javier Herrera; Alberto Guillén; Ignacio Rojas (IWBBIO, 2014)

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images. - Olga Valenzuela; Belén San Román; Francisco M. Ortuño Guzman; José Luis Bernier Villamor; María José Saéz-Lara; Fernando Rojas 001; Ignacio Rojas (IWBBIO, 2014)

Case Report: "ADHD Trainer": the mobile application that enhances cognitive skills in ADHD patients. - Gonzalo Ruiz-Manrique; Kazuhiro Tajima-Pozo; Francisco M. Ortuño Guzman (F1000Research, 2014)

Integrative gene expression analysis of lung cancer based on a technology-merging approach. - J. M. Soto; Francisco M. Ortuño Guzman; Ignacio Rojas (EUROCON, 2015)

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments. - Francisco M. Ortuño Guzman; Olga Valenzuela; Beatriz Prieto; María José Saéz-Lara; Carolina Torres; Héctor Pomares; Ignacio Rojas (Neurocomputing, 2015)

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. - Juan Manuel Galvez; Daniel Castillo-Secilla; Luis Javier Herrera; Olga Valenzuela; Octavio Caba; José C. Prados; Francisco M. Ortuño Guzman; Ignacio Rojas (IEEE J. Biomed. Health Informatics, 2020)

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. - Daniel Castillo-Secilla; Juan Manuel Galvez; Francisco Carrillo-Perez; Marta Verona-Almeida; Daniel Redondo-Sánchez; Francisco M. Ortuño Guzman; Luis Javier Herrera; Ignacio Rojas (Comput. Biol. Medicine, 2021)

CSVS, a crowdsourcing database of the Spanish population genetic variability. - María Peña-Chilet; Gema Roldán; Javier Perez-Florido; Francisco M. Ortuño; Rosario Carmona; Virginia Aquino; Daniel López-López; Carlos Loucera; Jose Luis Fernandez-Rueda; Asunción Gallego; Francisco García-García 002; Anna González-Neira; et al. (Nucleic Acids Res., 2021)

A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. - Martín Garrido-Rodriguez; Daniel López-López; Francisco M. Ortuño; María Peña-Chilet; Eduardo Muñoz; Marco A. Calzado; Joaquín Dopazo (PLoS Comput. Biol., 2021)

Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool. - Lucía Almorox; Luis Javier Herrera; Francisco M. Ortuño; Ignacio Rojas (IWBBIO (2), 2023)

Novel Gene Signature for Bladder Cancer Stage Identification. - Iñaki Hulsman; Luis Javier Herrera; Daniel Castillo; Francisco M. Ortuño (IWBBIO (1), 2023)

Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset. - Nerea Hernández; Francisco Carrillo-Perez; Francisco M. Ortuño; Ignacio Rojas (IWBBIO (2), 2024)