Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome

Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome

Abstract Background In this study, we aimed to identify novel biomarkers for polycystic ovary syndrome (PCOS) and analyze their potential roles in immune infiltration during PCOS pathogenesis. Methods Five datasets, namely GSE137684, GSE80432, GSE114419, GSE138518, and GSE155489, were obtained from...

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Bibliographic Details
Main Authors: Zhijing Na, Wen Guo, Jiahui Song, Di Feng, Yuanyuan Fang, Da Li
Format: Article
Language:English
Published: BMC 2022-07-01
Series:Journal of Ovarian Research
Subjects:
Polycystic ovary syndrome
Biomarkers
Immune infiltration
Machine learning algorithm
CIBERSORT
Online Access:https://doi.org/10.1186/s13048-022-01013-0

Internet

https://doi.org/10.1186/s13048-022-01013-0

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