Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule network

21 Jun 2023

Abstract excerpt

Revealing the key genes involved in polycystic ovary syndrome (PCOS) and elucidating its pathogenic mechanism is of extreme importance for the development of targeted clinical therapy for PCOS. Investigating disease by integrating several associated and interacting molecules in biological systems will make it possible to discover new pathogenic genes. In this study, an integrative disease-associated molecule...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bioinformatics and Genomic Networks
Share to Ovarian function and disorders
Share to Reproductive Biology and Fertility

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37342921
DOI: 10.1096/fj.202202103r

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of the hub genes in polycystic ovary syndrome based on disease‐associated molecule networkPMID 37342921Read ↗

Explore the potential molecular mechanism of polycystic ovarian syndrome by protein–protein interaction network analysisSemantic proximity Read ↗

Transcriptome profiling reveals dysregulation of inflammatory and protein synthesis genes in PCOSSemantic proximity Read ↗

Systems biology and in silico-based analysis of PCOS revealed the risk of metabolic disordersSemantic proximity Read ↗

Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity Read ↗

Identification of Key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysisSemantic proximity Read ↗

Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic moleculesSemantic proximity Read ↗

IDENTIFICATION OF KEY GENES ASSOCIATED WITH PCOS (POLY CYSTIC OVARIAN SYNDROME) AND ENDOMETRIAL/OVARIAN CANCER THROUGH BIOINFORMATICSSemantic proximity Read ↗

Key genes and pathways of ovarian granulosa cells in polycystic ovary syndrome identified by bioinformatics analysisSemantic proximity Read ↗

PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome.Semantic proximity Read ↗

Integrative Multi-cohort Transcriptomics and Network Pharmacology Analysis Reveals Key Network Nodes and Potential Drug Clues in PCOS Granulosa CellsSemantic proximity Read ↗

A network pharmacology study of mechanism and efficacy of Jiawei Huanglian-Wendan decoction in polycystic ovary syndrome with insulin resistanceSemantic proximity Read ↗

Identification of Key Pathways and Genes in Polycystic Ovary Syndrome via Integrated Bioinformatics Analysis and Prediction of Small Therapeutic MoleculesSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.