Enrique J. deAndrés-Galiana

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 12

Top Topics

Metropolis Hastings

Biological Pathways

Machine Learning

Top Venues

J. Comput. Biol.

Comput. Biol. Medicine

J. Biomed. Informatics

Publications

Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Óscar Álvarez-Machancoses, Guillermina Bea, Carlos M. Galmarini, Andrzej Kloczkowski
Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19. Comput. Biol. Medicine 149 (2022)
Óscar Álvarez-Machancoses, Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Andrzej Kloczkowski
The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance. ICAISC (1) (2020)
Ana Cernea, Juan Luis Fernández Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Óscar Álvarez-Machancoses, Zulima Fernández-Muñiz, Leorey N. Saligan, Stephen T. Sonis
Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer. BMC Bioinform. (2) (2020)
Enrique J. deAndrés-Galiana, Guillermina Bea, Juan Luis Fernández Martínez, Leo N. Saligan
Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches. Comput. Biol. Medicine 115 (2019)
Ana Cernea, Juan Luis Fernández Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Zulima Fernández-Muñiz, Óscar Álvarez-Machancoses, Leorey N. Saligan, Stephen T. Sonis
Comparison of Different Sampling Algorithms for Phenotype Prediction. IWBBIO (2) (2018)
Ana Cernea, Juan Luis Fernández Martínez, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Zulima Fernández-Muñiz, Óscar Álvarez-Machancoses, Leorey N. Saligan, Stephen T. Sonis
Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher's Ratio Sampler. IWBBIO (2) (2018)
Juan Luis Fernández Martínez, Ana Cernea, Enrique J. deAndrés-Galiana, Francisco Javier Fernández-Ovies, Zulima Fernández-Muñiz, Óscar Álvarez-Machancoses, Leorey N. Saligan, Stephen T. Sonis
Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler. IWBBIO (2) (2018)
Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Stephen T. Sonis
Design of Biomedical Robots for Phenotype Prediction Problems. J. Comput. Biol. 23 (8) (2016)
Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Leorey N. Saligan, Stephen T. Sonis
Impact of Microarray Preprocessing Techniques in Unraveling Biological Pathways. J. Comput. Biol. 23 (12) (2016)
Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Stephen T. Sonis
Sensitivity analysis of gene ranking methods in phenotype prediction. J. Biomed. Informatics 64 (2016)
Enrique J. deAndrés-Galiana, Juan Luis Fernández Martínez, Oscar Luaces, Juan José del Coz, Leticia Huergo-Zapico, Andrea Acebes-Huerta, Segundo González, Ana P. González-Rodríguez
Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems. J. Biomed. Informatics 60 (2016)
Juan Luis Fernández Martínez, Enrique J. deAndrés-Galiana, Stephen T. Sonis
Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases. ICMMI (2015)