Publicacións nas que colabora con MIGUEL REBOIRO JATO (54)

2024

  1. Multiple Lines of Evidence Support 199 SARS-CoV-2 Positively Selected Amino Acid Sites

    International Journal of Molecular Sciences, Vol. 25, Núm. 4

2023

  1. EvoPPI 2: A Web and Local Platform for the Comparison of Protein–Protein Interaction Data from Multiple Sources from the Same and Distinct Species

    Lecture Notes in Networks and Systems

  2. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection

    Diagnostics, Vol. 13, Núm. 5

  3. On the identification of potential novel therapeutic targets for spinocerebellar ataxia type 1 (SCA1) neurodegenerative disease using EvoPPI3

    Journal of integrative bioinformatics, Vol. 20, Núm. 2

  4. PanDrugs2: Prioritizing cancer therapies using integrated individual multi-omics data

    Nucleic Acids Research, Vol. 51, Núm. W1, pp. W411-W418

2022

  1. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

    Diagnostics, Vol. 12, Núm. 4

  2. Real-time polyp detection model using convolutional neural networks

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10375-10396

  3. SEDA: A Desktop Tool Suite for FASTA Files Processing

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19, Núm. 3, pp. 1850-1860

  4. The pegi3s Bioinformatics Docker Images Project

    Lecture Notes in Networks and Systems

2021

  1. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines

    Advances in Intelligent Systems and Computing

  2. Compi: A framework for portable and reproducible pipelines

    PeerJ Computer Science, Vol. 7, pp. 1-21

  3. DREIMT: a drug repositioning database and prioritization tool for immunomodulation

    Bioinformatics (Oxford, England), Vol. 37, Núm. 4, pp. 578-579

  4. Deep Neural Networks approaches for detecting and classifying colorectal polyps

    Neurocomputing, Vol. 423, pp. 721-734

  5. Inferences on Mycobacterium Leprae Host Immune Response Escape and Antibiotic Resistance Using Genomic Data and GenomeFastScreen

    Advances in Intelligent Systems and Computing

  6. On the Identification of Clinically Relevant Bacterial Amino Acid Changes at the Whole Genome Level Using Auto-PSS-Genome

    Interdisciplinary Sciences: Computational Life Sciences, Vol. 13, Núm. 2, pp. 334-343

2020

  1. An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile

    Frontiers in Immunology, Vol. 11

  2. CHAPTER 5: Statistics, Data Mining and Modeling

    New Developments in Mass Spectrometry (Royal Society of Chemistry), pp. 120-200

  3. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines

    Practical Applications of Computational Biology & Bioinformatics: 14th International Conference (PACBB 2020)

  4. Inferences on Mycobacterium Leprae Host Immune Response Escape and Antibiotic Resistance Using Genomic Data and GenomeFastScreen

    Practical Applications of Computational Biology & Bioinformatics: 14th International Conference (PACBB 2020)

  5. Inferring Positive Selection in Large Viral Datasets

    Advances in Intelligent Systems and Computing