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Article

Weighted Gene Co-expression Network Analysis in Identification of Endometrial Cancer Prognosis Markers

30 Sept 2012

Abstract excerpt

OBJECTIVE: Endometrial cancer (EC) is the most common gynecologic malignancy. Identification of potential biomarkers of EC would be helpful for the detection and monitoring of malignancy, improving clinical outcomes. METHODS: The Weighted Gene Co-expression Network Analysis method was used to identify prognostic markers for EC in this study. Moreover, underlying molecular mechanisms were characterized by KEGG...

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PMID: 23167388
DOI: 10.7314/apjcp.2012.13.9.4607

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