Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules

Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules

Abstract To enhance understanding of polycystic ovary syndrome (PCOS) at the molecular level; this investigation intends to examine the genes and pathways associated with PCOS by using an integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing data GSE8495...

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Bibliographic Details
Main Authors: Praveenkumar Devarbhavi, Lata Telang, Basavaraj Vastrad, Anandkumar Tengli, Chanabasayya Vastrad, Iranna Kotturshetti
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Reproductive Biology and Endocrinology
Subjects:
polycystic ovary syndrome
expression profiling by high throughput sequencing
biomarkers
pathway enrichment analysis
differentially expressed gene
Online Access:https://doi.org/10.1186/s12958-021-00706-3

Internet

https://doi.org/10.1186/s12958-021-00706-3

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