Machine Learning Methods in Precision Medicine Targeting Epigenetic Diseases.

Journal: Current pharmaceutical design
Published Date: Jan 1, 2018

Abstract

BACKGROUND: On a tide of big data, machine learning is coming to its day. Referring to huge amounts of epigenetic data coming from biological experiments and clinic, machine learning can help in detecting epigenetic features in genome, finding correlations between phenotypes and modifications in histone or genes, accelerating the screen of lead compounds targeting epigenetics diseases and many other aspects around the study on epigenetics, which consequently realizes the hope of precision medicine.

Authors

  • Shijie Fan
    Drug Discovery & Design Center, State Key Lab Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
  • Yu Chen
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Cheng Luo
    Department of Cardiology, Liuzhou Workers' Hospital, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
  • Fanwang Meng
    Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada.

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