Publicaciones en las que colabora con Carlos Fernández-Lozano (23)

2021

  1. A review on machine learning approaches and trends in drug discovery

    Computational and Structural Biotechnology Journal, Vol. 19, pp. 4538-4558

  2. Bioinformatic tools for research in CRC

    Foundations of Colorectal Cancer (Elsevier), pp. 231-247

  3. Machine learning analysis of TCGA cancer data

    PeerJ Computer Science, Vol. 7, pp. 1-47

2020

  1. Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques

    PeerJ Computer Science, Vol. 6, pp. 1-21

  2. Molecular docking and machine learning analysis of Abemaciclib in colon cancer

    BMC Molecular and Cell Biology, Vol. 21, Núm. 1

  3. Population subset selection for the use of a validation dataset for overfitting control in genetic programming

    Journal of Experimental and Theoretical Artificial Intelligence, Vol. 32, Núm. 2, pp. 243-271

2019

  1. Machine learning in biomedical informatics

    Encyclopedia of Biomedical Engineering (Elsevier), pp. 389-399

2018

  1. A Generalized Linear Model for Cardiovascular Complications prediction in PD patients

    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE, E-LEARNING AND INFORMATION SYSTEMS 2018 (DATA'18)

  2. A generalized linear model for cardiovascular complications prediction in PD patients

    ACM International Conference Proceeding Series

  3. Automatic multiscale vascular image segmentation algorithm for coronary angiography

    Biomedical Signal Processing and Control, Vol. 46, pp. 1-9

  4. Integrative multi-omics data-driven approach for metastasis prediction in cancer

    ACM International Conference Proceeding Series

  5. Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection

    Scientific Reports, Vol. 8, Núm. 1

2017

  1. A semantic interoperability approach to support integration of gene expression and clinical data in breast cancer

    Computers in Biology and Medicine, Vol. 87, pp. 179-186

  2. Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota

    Frontiers in Microbiology, Vol. 8, Núm. JUN

2016

  1. A methodology for the design of experiments in computational intelligence with multiple regression models

    PeerJ, Vol. 2016, Núm. 12

  2. Texture analysis in gel electrophoresis images using an integrative kernel-based approach

    Scientific Reports, Vol. 6

  3. Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils

    Engineering Computations (Swansea, Wales), Vol. 33, Núm. 4, pp. 995-1005

2015

  1. Classification of mild cognitive impairment and Alzheimer's Disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data

    Expert Systems with Applications, Vol. 42, Núm. 15-16, pp. 6205-6214

2014

  1. Markov mean properties for cell death-related protein classification

    Journal of Theoretical Biology, Vol. 349, pp. 12-21

2013

  1. A texture-based classification method for proteins in two-dimensional electrophoresis gel images: A feature selection method using Support Vector Machines and Genetic Algorithms

    VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications