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Article

Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer.

Scientific reports - 10 Jul 2017

Gov Esra, Arga Kazim Yalcin

Abstract excerpt

Ovarian cancer is one of the most significant disease among gynecological disorders that women suffered from over the centuries. However, disease-specific and effective biomarkers were still not available, since studies have focused on individual genes associated with ovarian cancer, ignoring the interactions and associations among the gene products. Here, ovarian cancer differential co-expression networks were...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 28694494
DOI: 10.1038/s41598-017-05298-w
PMCID: PMC5504034

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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