Francisco M. Ortuño Guzman

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 2

Top Topics

Multiple Sequence Alignments

Gene Expression

Top Venues

Publications

Daniel Castillo-Secilla, Juan Manuel Galvez, Francisco Carrillo-Perez, Marta Verona-Almeida, Daniel Redondo-Sánchez, Francisco M. Ortuño Guzman, Luis Javier Herrera, Ignacio Rojas
KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. Comput. Biol. Medicine 133 (2021)
Juan Manuel Galvez, Daniel Castillo-Secilla, Luis Javier Herrera, Olga Valenzuela, Octavio Caba, José C. Prados, Francisco M. Ortuño Guzman, Ignacio Rojas
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. IEEE J. Biomed. Health Informatics 24 (7) (2020)
J. M. Soto, Francisco M. Ortuño Guzman, Ignacio Rojas
Integrative gene expression analysis of lung cancer based on a technology-merging approach. EUROCON (2015)
Francisco M. Ortuño Guzman, Olga Valenzuela, Beatriz Prieto, María José Saéz-Lara, Carolina Torres, Héctor Pomares, Ignacio Rojas
Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments. Neurocomputing 164 (2015)
Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman, José Luis Bernier, María José Saéz-Lara, Belén San Román, Luis Javier Herrera, Alberto Guillén, Ignacio Rojas
Advances in bioinformatics using soft-computing paradigms. IWBBIO (2014)
Olga Valenzuela, Belén San Román, Francisco M. Ortuño Guzman, José Luis Bernier Villamor, María José Saéz-Lara, Fernando Rojas, Ignacio Rojas
Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images. IWBBIO (2014)
Gonzalo Ruiz-Manrique, Kazuhiro Tajima-Pozo, Francisco M. Ortuño Guzman
Case Report: "ADHD Trainer": the mobile application that enhances cognitive skills in ADHD patients. F1000Research 3 (2014)
Francisco M. Ortuño Guzman, Héctor Pomares, Ignacio Rojas Ruiz, Olga Valenzuela
Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment. CBMS (2014)
Olga Valenzuela, Francisco M. Ortuño Guzman, Fernando Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén
Using intelligent system for medical decision-making to magnetic resonance imaging. IWBBIO (2013)
Olga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Héctor Pomares, Ignacio Rojas Ruiz
Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG. ISDA (2013)
Francisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier P. Florido, José M. Urquiza, Ignacio Rojas
Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns. Bioinform. 29 (17) (2013)
Olga Valenzuela, Miguel Pasadas, Francisco M. Ortuño Guzman, Ignacio Rojas
Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. . IWBBIO (2013)
Francisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas
Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features. IWBBIO (2013)
Javier P. Florido, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Francisco M. Ortuño Guzman, José M. Urquiza
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. Neurocomputing 121 (2013)
Olga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Oresti Baños, Gonzalo Ruiz, Hind Tribak, Héctor Pomares, Ignacio Rojas Ruiz
Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG. SocialCom (2013)
Francisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas
Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features. IWANN (2) (2013)
Francisco M. Ortuño Guzman, Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine
Using cited references to improve the retrieval of related biomedical documents. BMC Bioinform. 14 (2013)
Francisco M. Ortuño Guzman, Javier P. Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas
Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. IEEE Congress on Evolutionary Computation (2012)
J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, Francisco M. Ortuño Guzman
Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network. IWANN (2) (2011)
Francisco M. Ortuño Guzman, Ignacio Rojas, Héctor Pomares, José M. Urquiza, J. P. Florido
Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data. PACBB (2011)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman
Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. PACBB (2011)