Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning
The study proposes F13A1 and SCCPDH as potential biomarkers for diagnosing PE and points to an improvement in early detection. Integration of WGCNA with machine learning could enhance biomarker discovery in complex conditions like PE and offer a path toward more precise and reliable diagnostic tools.
Authors
- Zhuanji Fang
- Pengming Sun (ORCID: https://orcid.org/0000-0002-5072-6091)
- Huale Zhang
- Xizhu Wu
- Yihan Zheng
Institutions
- Fujian Medical University (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2024-12-21
- DOI
- https://doi.org/10.1186/s12884-024-07028-3
- Citations
- 4
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 2.33