Machine Learning Classifiers for Endometriosis Using Transcriptomics and Methylomics Data

Endometriosis is a complex and common gynecological disorder yet a poorly understood disease affecting about 176 million women worldwide and causing significant impact on their quality of life and economic burden. Neither a definitive clinical symptom nor a minimally invasive diagnostic method is av...

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Hlavní autoři:	Sadia Akter, Dong Xu, Susan C. Nagel, John J. Bromfield, Katherine Pelch, Gilbert B. Wilshire, Trupti Joshi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2019-09-01
Edice:	Frontiers in Genetics
Témata:	endometriosis machine learning classification methylomics transcriptomics DNA methylation
On-line přístup:	https://www.frontiersin.org/article/10.3389/fgene.2019.00766/full
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