ENRIQUE JUAN DE ANDRES GALIANA-rekin lankidetzan egindako argitalpenak (13)

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

  2. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

    International Journal of Molecular Sciences, Vol. 23, Núm. 9

2020

  1. Deep neural networks for phenotype prediction in rare diseases

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

  2. Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer

    BMC Bioinformatics, Vol. 21

2019

  1. Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks

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

  2. MMP11 expression in intratumoral inflammatory cells in breast cancer

    Histopathology, Vol. 75, Núm. 6, pp. 916-930

  3. Prognostic networks for unraveling the biological mechanisms of Sarcopenia

    Mechanisms of Ageing and Development, Vol. 182

  4. Robust sampling of defective pathways in multiple myeloma

    International Journal of Molecular Sciences, Vol. 20, Núm. 19

2018

  1. Comparison of Different Sampling Algorithms for Phenotype Prediction

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

  2. Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm

    Cancer Medicine, Vol. 7, Núm. 1, pp. 240-253

  3. Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher’s Ratio Sampler

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

  4. Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

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

2017

  1. Improvements in resampling techniques for phenotype prediction: Applications to neurodegenerative diseases

    SEMA SIMAI Springer Series