Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysis

Identification of the core ontologies and signature genes of polycystic ovary syndrome (PCOS): A bioinformatics analysis

Worldwide polycystic ovary syndrome (PCOS) is one of the most common hormonal disorders in women of reproductive age. However, there is a lack of genetic study of the internal mechanisms of PCOS. Herein, we identify core genes involved in the pathogenesis of PCOS by using bioinformatics analysis. Fo...

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Bibliographic Details
Main Authors: Md Rakibul Islam, Md Liton Ahmed, Bikash Kumar Paul, Touhid Bhuiyan, Kawsar Ahmed, Mohammad Ali Moni
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Informatics in Medicine Unlocked
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914819304034

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