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ORCIDFrancisco M. Ortuño Guzman
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- affiliation: University of Granada, Spain
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2020 – today
- 2024
[c17]Nerea Hernández, Francisco Carrillo-Perez, Francisco M. Ortuño, Ignacio Rojas:
Deep Learning-Based Breast Cancer Subtype Classification from Whole-Slide Images: Leveraging the BRACS Dataset. IWBBIO (2) 2024: 200-213- 2023
- [c16]Iñaki Hulsman, Luis Javier Herrera, Daniel Castillo, Francisco M. Ortuño:
Novel Gene Signature for Bladder Cancer Stage Identification. IWBBIO (1) 2023: 93-102 - [c15]Lucía Almorox
, Luis Javier Herrera, Francisco M. Ortuño, Ignacio Rojas:
Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool. IWBBIO (2) 2023: 463-477 - [e16]Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I. Lecture Notes in Computer Science 13919, Springer 2023, ISBN 978-3-031-34952-2 [contents] - [e15]Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part II. Lecture Notes in Computer Science 13920, Springer 2023, ISBN 978-3-031-34959-1 [contents] - 2022
- [e14]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13346, Springer 2022, ISBN 978-3-031-07703-6 [contents] - [e13]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13347, Springer 2022, ISBN 978-3-031-07801-9 [contents] - 2021
- [j8]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: 104387 (2021) - [j7]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) - [j6]Martín Garrido-Rodriguez, Daniel López-López, Francisco M. Ortuño, María Peña-Chilet, Eduardo Muñoz, Marco A. Calzado, Joaquín Dopazo:
A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j5]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): 2119-2130 (2020) - [e12]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6-8, 2020, Proceedings. Lecture Notes in Computer Science 12108, Springer 2020, ISBN 978-3-030-45384-8 [contents]
2010 – 2019
- 2019
- [e11]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11465, Springer 2019, ISBN 978-3-030-17937-3 [contents] - [e10]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11466, Springer 2019, ISBN 978-3-030-17934-2 [contents] - 2018
- [e9]Ignacio Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25-27, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10813, Springer 2018, ISBN 978-3-319-78722-0 [contents] - [e8]Ignacio Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25-27, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10814, Springer 2018, ISBN 978-3-319-78758-9 [contents] - 2017
- [e7]Ignacio Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26-28, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10208, 2017, ISBN 978-3-319-56147-9 [contents] - [e6]Ignacio Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26-28, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10209, 2017, ISBN 978-3-319-56153-0 [contents] - 2016
- [e5]Francisco M. Ortuño Guzman, Ignacio Rojas:
Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Granada, Spain, April 20-22, 2016, Proceedings. Lecture Notes in Computer Science 9656, Springer 2016, ISBN 978-3-319-31743-4 [contents] - 2015
- [j4]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: 123-136 (2015) - [c14]J. M. Soto, Francisco M. Ortuño Guzman, Ignacio Rojas:
Integrative gene expression analysis of lung cancer based on a technology-merging approach. EUROCON 2015: 1-5 - [e4]Francisco M. Ortuño Guzman, Ignacio Rojas:
Bioinformatics and Biomedical Engineering - Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9043, Springer 2015, ISBN 978-3-319-16482-3 [contents] - [e3]Francisco M. Ortuño Guzman, Ignacio Rojas:
Bioinformatics and Biomedical Engineering - Third International Conference, IWBBIO 2015, Granada, Spain, April 15-17, 2015. Proceedings, Part II. Lecture Notes in Computer Science 9044, Springer 2015, ISBN 978-3-319-16479-3 [contents] - 2014
- [c13]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: 557-558 - [c12]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: 1634-1643 - [c11]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: 1644-1650 - [e2]Ignacio Rojas, Francisco M. Ortuño Guzman:
International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2014, Granada, Spain, April 7-9, 2014. Copicentro Editorial 2014, ISBN 978-84-15814-84-9 [contents] - [i1]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: 283 (2014) - 2013
- [j3]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) - [j2]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: 113 (2013) - [j1]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]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: 301-306 - [c9]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: 150-158 - [c8]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: 205-214 - [c7]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: 283-288 - [c6]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: 289-295 - [c5]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: 1038-1045 - [e1]Ignacio Rojas, Francisco M. Ortuño Guzman:
International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2013, Granada, Spain, March 18-20, 2013. Proceedings. Copicentro Editorial 2013, ISBN 978-84-15814-13-9 [contents] - 2012
- [c4]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
- [c3]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 - [c2]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 - [c1]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
Coauthor Index
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