Carlos Fernandez-Lozano (ORCID:0000-0003-0413-5677)
Carlos Fernandez-Lozano (ORCID:0000-0003-0413-5677)
Universidade da Coruña. CITIC-Research Center of Information and Communication Technologies
Verified email at - Homepage
Cited by
Cited by
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 1-17, 2019
RRegrs: an R package for computer-aided model selection with multiple regression models
G Tsiliki, CR Munteanu, JA Seoane, C Fernandez-Lozano, H Sarimveis, ...
Journal of cheminformatics 7 (1), 1-16, 2015
Texture classification using feature selection and kernel-based techniques
C Fernandez-Lozano, JA Seoane, M Gestal, TR Gaunt, J Dorado, ...
Soft Computing 19 (9), 2469-2480, 2015
Classification of mild cognitive impairment and Alzheimer’s Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data
CR Munteanu, C Fernandez-Lozano, VM Abad, SP Fernández, ...
Expert Systems with Applications 42 (15-16), 6205-6214, 2015
Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models
C Fernandez-Lozano, RF Cuinas, JA Seoane, E Fernandez-Blanco, ...
Journal of theoretical biology 384, 50-58, 2015
Improving enzyme regulatory protein classification by means of SVM-RFE feature selection
C Fernandez-Lozano, E Fernández-Blanco, K Dave, N Pedreira, M Gestal, ...
Molecular Biosystems 10 (5), 1063-1071, 2014
A methodology for the design of experiments in computational intelligence with multiple regression models
C Fernandez-Lozano, M Gestal, CR Munteanu, J Dorado, A Pazos
PeerJ 4, e2721, 2016
Solvent accessible surface area-based hot-spot detection methods for protein–protein and protein–nucleic acid interfaces
CR Munteanu, AC Pimenta, C Fernandez-Lozano, A Melo, ...
Journal of chemical information and modeling 55 (5), 1077-1086, 2015
Two-dimensional gel electrophoresis image registration using block-matching techniques and deformation models
A Rodriguez, C Fernandez-Lozano, J Dorado, JR Rabuñal
Analytical biochemistry 454, 53-59, 2014
Hybrid model based on Genetic Algorithms and SVM applied to variable selection within fruit juice classification
C Fernandez-Lozano, C Canto, M Gestal, JM Andrade-Garda, ...
The Scientific World Journal 2013, 13, 2013
Authentication of tequilas using pattern recognition and supervised classification
G Pérez-Caballero, JM Andrade, P Olmos, Y Molina, I Jiménez, JJ Durán, ...
TrAC Trends in Analytical Chemistry 94, 117-129, 2017
Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
JL Blanco, AB Porto-Pazos, A Pazos, C Fernandez-Lozano
Scientific reports 8 (1), 1-11, 2018
A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer
R Alonso-Calvo, S Paraiso-Medina, D Perez-Rey, E Alonso-Oset, ...
Computers in biology and medicine 87, 179-186, 2017
Experimental study and random forest prediction model of microbiome cell surface hydrophobicity
Y Liu, S Tang, C Fernandez-Lozano, CR Munteanu, A Pazos, Y Yu, Z Tan, ...
Expert Systems with Applications 72, 306-316, 2017
Texture analysis in gel electrophoresis images using an integrative kernel-based approach
C Fernandez-Lozano, JA Seoane, M Gestal, TR Gaunt, J Dorado, ...
Scientific reports 6 (1), 1-13, 2016
Kernel-Based Feature Selection Techniques For Transport Proteins Based On Star Graph Topological Indices.
C Fernandez-Lozano, M Gestal, N Pedreira-Souto, L Postelnicu, J Dorado, ...
Current topics in medicinal chemistry 12 (14), 1681-1691, 2013
ISG15, a small molecule with huge implications: regulation of mitochondrial homeostasis
M Albert, M Bécares, M Falqui, C Fernández-Lozano, S Guerra
Viruses 10 (11), 629, 2018
Markov mean properties for cell death-related protein classification
C Fernandez-Lozano, M Gestal, H González-Díaz, J Dorado, A Pazos, ...
Journal of theoretical biology 349, 12-21, 2014
Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
M Piles, C Fernandez-Lozano, M Velasco-Galilea, O González-Rodríguez, ...
Genetics Selection Evolution 51 (1), 1-15, 2019
Automated neuron detection in high-content fluorescence microscopy images using machine learning
G Mata, M Radojević, C Fernandez-Lozano, I Smal, N Werij, M Morales, ...
Neuroinformatics 17 (2), 253-269, 2019
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