Ontology highlight
ABSTRACT: Background
Numerous studies have suggested that ferroptosis plays a significant role in the development of polycystic ovary syndrome (PCOS), but the mechanism remains unclear.Methods
In this study, we explored the role of ferroptosis-related genes in the pathogenesis of PCOS using a comprehensive bioinformatics method. First, we downloaded several Gene Expression Omnibus (GEO) datasets and combined them into a meta-GEO dataset. Differential expression analysis was performed to screen for significant ferroptosis-related genes between the normal and PCOS samples. The least absolute shrinkage selection operator regression and support vector machine-recursive feature elimination were used to select the best signs to construct a PCOS diagnostic model. Receiver operating characte
SUBMITTER: Lin S
PROVIDER: S-EPMC9981782 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature