Ohio State University-ko ikertzaileekin lankidetzan egindako argitalpenak (8)

2023

  1. 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

2020

  1. Deep neural networks for phenotype prediction in rare diseases

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

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)