Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches
<i>CGB5</i>, <i>LEP</i>, <i>LRRC1</i>, <i>PAPPA2</i>, and <i>SLC20A1</i> are validated as key diagnostic biomarkers for PE. Nomogram and FCNN could credibly predict PE. Their association with immune infiltration underscores the crucial role of immune responses in PE pathogenesis.
Authors
- Qian Li (ORCID: https://orcid.org/0000-0002-2900-2494)
- Cailian Chen (ORCID: https://orcid.org/0000-0001-6533-8713)
- Xiaowei Wei (ORCID: https://orcid.org/0000-0001-8090-2431)
- Chuanmei Qin (ORCID: https://orcid.org/0000-0001-6093-9261)
- Yi Lin (ORCID: https://orcid.org/0000-0001-8956-5734)
- Junpeng Dong
- Fan Wu (ORCID: https://orcid.org/0000-0002-5071-0882)
Institutions
- Shanghai Jiao Tong University (CN)
- International Peace Maternity & Child Health Hospital (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3389/fimmu.2024.1416297
- Citations
- 12
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 6.99