Publicaciones en colaboración con investigadores/as de Ohio State University (16)

2023

  1. Computational Models for COVID-19 Dynamics Prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Prediction of Functional Effects of Protein Amino Acid Mutations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Three Mathematical Models for COVID-19 Prediction

    Mathematics, Vol. 11, Núm. 3

2022

  1. Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space

    International Journal of Molecular Sciences, Vol. 23, Núm. 21

  2. 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

    Computers in Biology and Medicine, Vol. 149

2020

  1. Deep neural networks for phenotype prediction in rare diseases

    Artificial Intelligence in Precision Health: From Concept to Applications (Elsevier), pp. 189-202

  2. Prediction of protein tertiary structure via regularized template classification techniques

    Molecules, Vol. 25, Núm. 11

  3. Robust prediction of single and multiple point protein mutations stability changes

    Biomolecules, Vol. 10, Núm. 1

  4. Robust sampling of defective pathways in alzheimer’s disease. Implications in drug repositioning

    International Journal of Molecular Sciences, Vol. 21, Núm. 10

  5. The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Predicting protein tertiary structure and its uncertainty analysis via particle swarm sampling

    Journal of Molecular Modeling, Vol. 25, Núm. 3

  2. Robust sampling of defective pathways in multiple myeloma

    International Journal of Molecular Sciences, Vol. 20, Núm. 19

2018

  1. On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Principal component analysis in protein tertiary structure prediction

    Journal of Bioinformatics and Computational Biology, Vol. 16, Núm. 2

  3. Protein tertiary structure prediction via SVD and PSO sampling

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011

  1. Particle swarm optimization: A powerful family of stochastic optimizers. Analysis, design and application to inverse modelling

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)