Machine learning-based predictions of dietary restriction associations across ageing-related genes.

Journal: BMC bioinformatics
Published Date: Jan 4, 2022

Abstract

BACKGROUND: Dietary restriction (DR) is the most studied pro-longevity intervention; however, a complete understanding of its underlying mechanisms remains elusive, and new research directions may emerge from the identification of novel DR-related genes and DR-related genetic features.

Authors

  • Gustavo Daniel Vega Magdaleno
    Integrative Genomics of Ageing Group, Institute of Life Course and Medical Sciences, University of Liverpool, 6 West Derby St, Liverpool, L7 8TX, UK.
  • Vladislav Bespalov
    School of Computer Technologies and Controls, ITMO University, Kronverkskiy Prospekt 49, 197101, St Petersburg, Russia.
  • Yalin Zheng
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom.
  • Alex A Freitas
    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.

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