Francisco M. Ortuño Guzman

发表

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, IWANN.

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2012, 2012 IEEE Congress on Evolutionary Computation.

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network

Héctor Pomares, Ignacio Rojas, José M. Urquiza, 2011, IWANN.

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, Bioinform..

Using cited references to improve the retrieval of related biomedical documents

Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine, 2013, BMC Bioinformatics.

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 International Conference on Social Computing.

Integrative gene expression analysis of lung cancer based on a technology-merging approach

Ignacio Rojas, Francisco M. Ortuño Guzman, J. M. Soto, 2015, IEEE EUROCON 2015 - International Conference on Computer as a Tool (EUROCON).

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data

Héctor Pomares, Ignacio Rojas, José M. Urquiza, 2011, PACBB.

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2011, PACBB.

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2013, IWBBIO.

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

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, Neurocomputing.

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images

Ignacio Rojas, Olga Valenzuela, José Luis Bernier, 2014, IWBBIO.

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments

Héctor Pomares, Ignacio Rojas, Olga Valenzuela, 2015, Neurocomputing.

Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing.

Ignacio Rojas, Miguel Pasadas, Olga Valenzuela, 2013, IWBBIO.

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

Francisco Carrillo-Perez, Luis Javier Herrera, Juan Manuel Galvez, 2021, Comput. Biol. Medicine.