Back to search

Article

Integrative Multi-cohort Transcriptomics and Network Pharmacology Analysis Reveals Key Network Nodes and Potential Drug Clues in PCOS Granulosa Cells

2026-04-06

Abstract excerpt

<h4>Background</h4> Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder with complex pathophysiology and limited therapeutic options. Identifying key molecular drivers and potential drug candidates is critical for improving clinical outcomes. <h4>Methods</h4> We integrated multi-cohort transcriptomics (GSE155489, GSE138518, GSE226146) with weighted gene co-expression network analysis (WGCNA), prot...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8204f8b2-36aa-50d9-ab46-f3b512a45baf
DOI
10.64898/2026.04.01.715808
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrative Multi-cohort Transcriptomics and Network Pharmacology Analysis Reveals Key Network Nodes and Potential Drug Clues in PCOS Granulosa CellsDOI 10.64898/2026.04.01.715808
Select a neighboring publication to make it the new centre.