Publicacións nas que colabora con José Antonio Seoane Fernández (38)

2022

  1. Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes

    Frontiers in Microbiology, Vol. 13

2021

  1. Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data

    Studies in health technology and informatics, Vol. 281, pp. 382-386

2019

  1. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

    Nature Communications, Vol. 10, Núm. 1

2016

  1. Texture analysis in gel electrophoresis images using an integrative kernel-based approach

    Scientific Reports, Vol. 6

2015

  1. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models

    Journal of Theoretical Biology, Vol. 384, pp. 50-58

  2. RRegrs: An R package for computer-aided model selection with multiple regression models

    Journal of Cheminformatics, Vol. 7, Núm. 1

  3. SVM-RFE with Laplacian kernel for classification of signaling proteins based on molecular star graph descriptors using machine-learning models

    figshare

  4. SVM-RFE with Laplacian kernel for classification of signaling proteins based on molecular star graph descriptors using machine-learning models

    figshare

  5. Texture classification using feature selection and kernel-based techniques

    Soft Computing, Vol. 19, Núm. 9, pp. 2469-2480

2014

  1. Breast density classification to reduce false positives in CADe systems

    Computer Methods and Programs in Biomedicine, Vol. 113, Núm. 2, pp. 569-584

  2. Texture classification of proteins using support vector machines and bio-inspired metaheuristics

    Communications in Computer and Information Science

2013

  1. 2D-page texture classification using support vector machines and genetic algorithms an hybrid approach for texture image analysis

    BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms

  2. A texture-based classification method for proteins in two-dimensional electrophoresis gel images: A feature selection method using Support Vector Machines and Genetic Algorithms

    VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications

  3. Anonymizing patient genomic data for public sharing association studies

    Studies in Health Technology and Informatics

  4. Biomedical data integration in computational drug design and bioinformatics

    Current Computer-Aided Drug Design, Vol. 9, Núm. 1, pp. 108-117

  5. Exploring patterns of epigenetic information with data mining techniques

    Current Pharmaceutical Design, Vol. 19, Núm. 4, pp. 779-789

  6. New approaches in data integration for systems chemical biology

    Current Topics in Medicinal Chemistry, Vol. 13, Núm. 5, pp. 591-601

  7. SNP locator: A candidate SNP selection tool

    International Journal of Data Mining, Modelling and Management, Vol. 5, Núm. 3, pp. 193-209

  8. Spot matching in 2D electrophoresis experiments

    International Journal of Data Analysis Techniques and Strategies, Vol. 5, Núm. 2, pp. 198-213

  9. Texture classification using kernel-based techniques

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