Using deep learning to associate human genes with age-related diseases.

Journal: Bioinformatics (Oxford, England)
Published Date: Apr 1, 2020

Abstract

MOTIVATION: One way to identify genes possibly associated with ageing is to build a classification model (from the machine learning field) capable of classifying genes as associated with multiple age-related diseases. To build this model, we use a pre-compiled list of human genes associated with age-related diseases and apply a novel Deep Neural Network (DNN) method to find associations between gene descriptors (e.g. Gene Ontology terms, protein-protein interaction data and biological pathway information) and age-related diseases.

Authors

  • Fabio Fabris
    School of Computing, University of Kent, Canterbury, Kent, CT2 7NF, UK. ff79@kent.ac.uk.
  • Daniel Palmer
    Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
  • Khalid M Salama
    School of Computing, University of Kent, Canterbury, Kent CT2 7NF, UK.
  • João Pedro de Magalhães
    Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK.
  • Alex A Freitas
    School of Computing, University of Kent, Canterbury, Kent, CT2 7NF, UK.

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