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Identification and Validation of a LASSO-Based Diagnostic Signature for PCOS Endometrial Dysfunction Using Integrated Bioinformatics

2025-08-22

Abstract excerpt

<h4>Background: </h4> Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged women, affecting 8–13 % of the population worldwide. It is defined by the 2003 Rotterdam criteria and is frequently accompanied by endometrial dysfunction, yet non-invasive molecular biomarkers for diagnosis remain scarce. This study aimed to identify a robust gene signature for PCOS endometrial dys...

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Literature Corpus work
295350f2-c824-578e-b74b-da5407068b42
DOI
10.20944/preprints202508.1575.v1
Open publication

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Identification and Validation of a LASSO-Based Diagnostic Signature for PCOS Endometrial Dysfunction Using Integrated BioinformaticsDOI 10.20944/preprints202508.1575.v1
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