Publicacions en què col·labora amb A. Pazos (38)

2024

  1. From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine

    Health Information Science and Systems, Vol. 12, Núm. 1

2020

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

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

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

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

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

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

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

    Scientific Reports, Vol. 10, Núm. 1

  5. 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

  6. 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

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

2017

  1. Carbon nanotubes’ effect on mitochondrial oxygen flux dynamics: Polarography experimental study and machine learning models using star graph trace invariants of raman spectra

    Nanomaterials, Vol. 7, Núm. 11

  2. Decrypting Strong and Weak Single-Walled Carbon Nanotubes Interactions with Mitochondrial Voltage-Dependent Anion Channels Using Molecular Docking and Perturbation Theory

    Scientific Reports, Vol. 7, Núm. 1

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

    Frontiers in Microbiology, Vol. 8, Núm. JUN

2016

  1. Data analysis in chemistry and bio-medical sciences

    International Journal of Molecular Sciences

  2. Experimental and chemometric studies of cell membrane permeability

    Chemometrics and Intelligent Laboratory Systems, Vol. 154, pp. 1-6

2015

  1. Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and Artificial Intelligence Models

    Combinatorial Chemistry and High Throughput Screening, Vol. 18, Núm. 8, pp. 735-750

  2. Experimental and computational studies of fatty acid distribution networks

    Molecular BioSystems, Vol. 11, Núm. 11, pp. 2964-2977

  3. MI-NODES multiscale models of metabolic reactions, brain connectome, ecological, epidemic, world trade, and legal-social networks

    Current Bioinformatics, Vol. 10, Núm. 5, pp. 692-713

  4. MIANN models of networks of biochemical reactions, ecosystems, and U.S. supreme court with Balaban-Markov indices

    Current Bioinformatics, Vol. 10, Núm. 5, pp. 658-671

  5. Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties

    BioSystems, Vol. 132-133, pp. 20-34