Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS

Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS

Abstract Background Polycystic ovary syndrome (PCOS) is a common endocrine disorder affecting women of reproductive age. It is characterized by symptoms such as hyperandrogenemia, oligo or anovulation and polycystic ovarian, significantly impacting quality of life. However, the practical implementat...

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Bibliographic Details
Main Authors: Wenxiu Chen, Jianliang Miao, Jingfei Chen, Jianlin Chen
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Journal of Ovarian Research
Subjects:
Polycystic ovary syndrome
Machine learning
Hub gene
Predictive models
Bioinformatics
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Online Access:https://doi.org/10.1186/s13048-024-01583-1
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https://doi.org/10.1186/s13048-024-01583-1

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