Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning

Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning

Abstract Purpose This study aimed to identify novel biomarkers for preeclampsia (PE) diagnosis by integrating Weighted Gene Co-expression Network Analysis (WGCNA) with machine learning techniques. Patients and methods We obtained the PE dataset GSE25906 from the gene expression omnibus (GEO) databas...

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Bibliographic Details
Main Authors: Yihan Zheng, Zhuanji Fang, Xizhu Wu, Huale Zhang, Pengming Sun
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Pregnancy and Childbirth
Subjects:
WGCNA
LASSO
Machine learning
CIBERSORT algorithms
Preeclampsia
Online Access:https://doi.org/10.1186/s12884-024-07028-3

Internet

https://doi.org/10.1186/s12884-024-07028-3

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