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Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches

31 Oct 2024

Abstract excerpt

Background: Preeclampsia (PE) poses significant diagnostic and therapeutic challenges. This study aims to identify novel genes for potential diagnostic and therapeutic targets, illuminating the immune mechanisms involved. Methods: Three GEO datasets were analyzed, merging two for training set, and using the third for external validation. Intersection analysis of differentially expressed genes (DEGs) and WGCNA...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39544937
DOI: 10.3389/fimmu.2024.1416297

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