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2020 – today
- 2021
[j8]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, Anna González-Neira, Guillermo Pita, Rocío Núñez-Torres, Javier Santoyo-Lopez, Carmen Ayuso, Pablo Minguez, Almudena Avila-Fernandez, Marta Corton, Miguel Ángel Moreno-Pelayo, Matías Morin, Alvaro Gallego-Martinez, Jose A. Lopez-Escamez, Salud Borrego, Guillermo Antiñolo, Jorge Amigo, Josefa Salgado-Garrido, Sara Pasalodos-Sanchez, Beatriz Morte, Fátima Al-Shahrour, Rafael Artuch, Javier Benitez, Luis Antonio Castaño, Ignacio Del Castillo, Aitor Delmiro, Carmina Espinos, Roser González, Daniel Grinberg, Encarnación Guillén, Pablo Lapunzina, Esther López, Ramon Martí, Montserrat Milá, Jose M. Millán, Virginia Nunes, Francesc Palau, Belen Perez, Luis A. Pérez-Jurado, Rosario Perona, Aurora Pujol, Feliciano Ramos, Antonia Ribes, Jordi Rosell, Eulalia Rovira, Jordi Surrallés, Isabel Tejada, Magdalena Ugarte, Ángel Carracedo, Ángel Alonso, Joaquín Dopazo:
CSVS, a crowdsourcing database of the Spanish population genetic variability. Nucleic Acids Res. 49(Database-Issue): D1130-D1137 (2021)
2010 – 2019
- 2014
- [j7]Francisco J. López-Domingo, Javier Perez-Florido, Antonio Rueda, Joaquín Dopazo, Javier Santoyo-Lopez:
ngsCAT: a tool to assess the efficiency of targeted enrichment sequencing. Bioinform. 30(12): 1767-1768 (2014) - 2013
- [j6]Francisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier Perez-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): 2112-2121 (2013) - [j5]Javier Perez-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: 64-78 (2013) - [c10]Francisco Javier Lopez Domingo, Antonio Rueda Martin, Javier Perez-Florido, Alicia Vela Boza, Pablo Arce Garcia, Luis Miguel Cruz Renedo, Javier Escalante, Ana Isabel Lopez Perez, Federica Trombetta, Guillermo Antiñolo, Javier Santoyo-Lopez:
Whole exome sequencing analysis pipeline for the discovery of mutations causative of human rare diseases. IWBBIO 2013: 253-254 - 2012
- [j4]José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Olga Valenzuela, Maria del Mar Cepero:
Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. Comput. Biol. Medicine 42(6): 639-650 (2012) - [j3]José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Javier Perez-Florido, Olga Valenzuela:
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology. J. Appl. Math. 2012: 897289:1-897289:23 (2012) - [j2]J. P. Florido, Héctor Pomares, Ignacio Rojas, José M. Urquiza, M. A. Lopez-Gordo:
A deterministic model selection scheme for incremental RBFNN construction in time series forecasting. Neural Comput. Appl. 21(3): 595-610 (2012) - [c9]Francisco M. Ortuño Guzman, Javier Perez-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: 1-8 - 2011
- [j1]J. P. Florido, Héctor Pomares, Ignacio Rojas:
Generating Balanced Learning and Test Sets for Function Approximation Problems. Int. J. Neural Syst. 21(3): 247-263 (2011) - [c8]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: 194-201 - [c7]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: 183-190 - [c6]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: 373-380 - 2010
- [c5]Javier Perez-Florido, Héctor Pomares, Ignacio Rojas, José Miguel Urquiza Ortiz, Luis Javier Herrera, Manuel Gonzalo Claros:
Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c4]José Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido:
Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. ISCIS 2009: 645-650 - [c3]J. P. Florido, Héctor Pomares, Ignacio Rojas, José C. Calvo, José M. Urquiza, M. Gonzalo Claros:
On Selecting the Best Pre-processing Method for Affymetrix Genechips. IWANN (1) 2009: 845-852 - [c2]José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega Lopera:
Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. IWANN (1) 2009: 853-860 - [c1]José C. Calvo, Julio Ortega Lopera, Mancia Anguita, José M. Urquiza, J. P. Florido:
Protein Structure Prediction by Evolutionary Multi-objective Optimization: Search Space Reduction by Using Rotamers. IWANN (1) 2009: 861-868
Coauthor Index
aka: Ignacio Rojas Ruiz
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