Francisco M. Ortuño Guzman - researchr alias

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Viewing Publication 1 - 19 from 19

2021

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledgeDaniel Castillo-Secilla, Juan Manuel Galvez, Francisco Carrillo-Perez, Marta Verona-Almeida, Daniel Redondo-Sánchez, Francisco M. Ortuño Guzman, Luis Javier Herrera, Ignacio Rojas. cbm, 133:104387, 2021. [doi]

2020

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq DatasetsJuan Manuel Galvez, Daniel Castillo-Secilla, Luis Javier Herrera, Olga Valenzuela, Octavio Caba, José C. Prados, Francisco M. Ortuño Guzman, Ignacio Rojas. titb, 24(7):2119-2130, 2020. [doi]

2015

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignmentsFrancisco M. Ortuño Guzman, Olga Valenzuela, Beatriz Prieto, María José Saéz-Lara, Carolina Torres, Héctor Pomares, Ignacio Rojas. ijon, 164:123-136, 2015. [doi]

Integrative gene expression analysis of lung cancer based on a technology-merging approachJ. M. Soto, Francisco M. Ortuño Guzman, Ignacio Rojas. eurocon 2015: 1-5 [doi]

2014

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 NetworksJavier P. Florido, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Francisco M. Ortuño Guzman, José M. Urquiza. ijon, 121:64-78, 2013. [doi]

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological featuresFrancisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas. iwbbio 2013: 283-288 [doi]

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological FeaturesFrancisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas. iwann 2013: 150-158 [doi]

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columnsFrancisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier P. Florido, José M. Urquiza, Ignacio Rojas. bioinformatics, 29(17):2112-2121, 2013. [doi]

Using cited references to improve the retrieval of related biomedical documentsFrancisco M. Ortuño Guzman, Ignacio Rojas, Miguel A. Andrade-Navarro, Jean-Fred Fontaine. bmcbi, 14:113, 2013. [doi]

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: 289-295 [doi]

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECGOlga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Héctor Pomares, Ignacio Rojas Ruiz. isda 2013: 301-306 [doi]

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECGOlga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Oresti Baños, G. Ruiz, H. Tribak, Héctor Pomares, Ignacio Rojas Ruiz. socialcom 2013: 1038-1045 [doi]

Using intelligent system for medical decision-making to magnetic resonance imagingOlga Valenzuela, Francisco M. Ortuño Guzman, Fernando Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén. iwbbio 2013: 205-214 [doi]

2012

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-IIFrancisco M. Ortuño Guzman, Javier P. Florido, José M. Urquiza, Héctor Pomares, Alberto Prieto, Ignacio Rojas. cec 2012: 1-8 [doi]

2011

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput DataFrancisco M. Ortuño Guzman, Ignacio Rojas, Héctor Pomares, José M. Urquiza, J. P. Florido. pacbb 2011: 183-190 [doi]

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI PredictionJosé M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman. pacbb 2011: 373-380 [doi]

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