Publicacións nas que colabora con Alejandro Pazos Sierra (60)

2024

  1. Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy

    Journal of Cheminformatics, Vol. 16, Núm. 1

2023

  1. Operating System Fingerprinting Tool Based on Classical Machine Learning Algorithms

    2023 JNIC Cybersecurity Conference, JNIC 2023

  2. Operating System Fingerprinting Tool Based on Classical Machine Learning Algorithms

    Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023

2021

  1. Applying Artificial Intelligence for Operating System Fingerprinting †

    Engineering Proceedings, Vol. 7, Núm. 1

  2. Bioinformatic tools for research in CRC

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

2020

  1. A multi-objective approach for anti-osteosarcoma cancer agents discovery through drug repurposing

    Pharmaceuticals, Vol. 13, Núm. 11, pp. 1-16

  2. Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques

    Computers in Biology and Medicine, Vol. 120

  3. Discovery of novel immunopharmacological ligands targeting the IL-17 inflammatory pathway

    International Immunopharmacology, Vol. 89

  4. Gene prioritization through consensus strategy, enrichment methodologies analysis, and networking for osteosarcoma pathogenesis

    International Journal of Molecular Sciences, Vol. 21, Núm. 3

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

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

  6. Net-net autoML selection of artificial neural network topology for brain connectome prediction

    Applied Sciences (Switzerland), Vol. 10, Núm. 4

  7. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

    Scientific Reports, Vol. 10, Núm. 1

  8. Perturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds

    ACS Omega, Vol. 5, Núm. 42, pp. 27211-27220

  9. Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

    Scientific Reports, Vol. 10, Núm. 1

2019

  1. Improvement of epitope prediction using peptide sequence descriptors and machine learning

    International Journal of Molecular Sciences, Vol. 20, Núm. 18

  2. Machine learning in biomedical informatics

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

  3. Translational bioinformatics: Informatics, medicine, and -omics

    Encyclopedia of Biomedical Engineering (Elsevier), pp. 507-514

2018

  1. Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis

    Scientific Reports, Vol. 8, Núm. 1

  2. Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems

    Scientific Reports, Vol. 8, Núm. 1

  3. Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l -Prolyl- l -leucyl-glycinamide Peptidomimetics

    ACS Chemical Neuroscience, Vol. 9, Núm. 11, pp. 2572-2587