Transcriptomic profiling and biomarker discovery in pre-eclampsia: An integrated approach leveraging WGCNA and LASSO with ROC validation

• Published in: Computational biology and chemistry Vol. 119; p. 108546
• Main Authors: Palanisamy, Tamil Barathi, Arumugam, Mohanapriya
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2025
• Subjects: Drug-gene interaction; Lasso regression; Preeclampsia; Receiver operating characteristics analysis; Weighted gene co-expression network analysis; Receiver operating characteristics analysis; Drug-gene interaction; Lasso regression; Preeclampsia; Weighted gene co-expression network analysis

Pre-eclampsia (PE) remains one of the leading causes of maternal and fetal morbidity, affecting 2-8 % of pregnancies worldwide. Despite great efforts in research, the precise molecular mechanisms underlying this complex disorder have not been identified. In this study, we used RNA sequence data (RNA...