Machine Learning Methods in Precision Medicine Targeting Epigenetic Diseases.

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. METHODS:In this minireview, we will focus on reviewing the fundamentals and applications of machine learning methods which are regularly used in epigenetics filed and explain their features. Their advantages and disadvantages will also be discussed. RESULTS:Machine learning algorithms have accelerated studies in precision medicine targeting epigenetics diseases. CONCLUSION:In order to make full use of machine learning algorithms, one should get familiar with the pros and cons of them, which will benefit from big data by choosing the most suitable method(s).

journal_name

Curr Pharm Des

authors

Fan S,Chen Y,Luo C,Meng F

doi

10.2174/1381612824666181112114228

subject

Has Abstract

pub_date

2018-01-01 00:00:00

pages

3998-4006

issue

34

eissn

1381-6128

issn

1873-4286

pii

CPD-EPUB-94437

journal_volume

24

pub_type

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