Article

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

2020-01-01

Abstract excerpt

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. For the study, the dataset GSE124226 was collected from the Gene Expression Omnibus (GEO) database. The differentially...

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Literature Corpus work: 2be76adc-0c40-5c29-9269-16404a6cfc69
DOI: 10.1016/j.imu.2020.100304

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