Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification.

Journal: Clinical epigenetics
Published Date: Apr 3, 2020

Abstract

BACKGROUND: Machine learning is a sub-field of artificial intelligence, which utilises large data sets to make predictions for future events. Although most algorithms used in machine learning were developed as far back as the 1950s, the advent of big data in combination with dramatically increased computing power has spurred renewed interest in this technology over the last two decades.

Authors

  • S Rauschert
    Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia. Sebastian.Rauschert@telethonkids.org.au.
  • K Raubenheimer
    School of Medicine, Notre Dame University, Fremantle, Western Australia.
  • P E Melton
    Centre for Genetic Origins of Health and Disease, The University of Western Australia and Curtin University, Perth, Western Australia.
  • R C Huang
    Telethon Kids Institute, University of Western Australia, Nedlands, Perth, Western Australia.

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