Identification of Hub Genes Associated With Hepatocellular Carcinoma Using Robust Rank Aggregation Combined With Weighted Gene Co-expression Network Analysis

Abstract excerpt

BACKGROUND: Bioinformatics provides a valuable tool to explore the molecular mechanisms underlying pathogenesis of hepatocellular carcinoma (HCC). To improve prognosis of patients, identification of robust biomarkers associated with the pathogenic pathways of HCC remains an urgent research priority. METHODS: We employed the Robust Rank Aggregation method to integrate nine qualified HCC datasets from the Gene...

Topics

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

• Share to Bioinformatics and Genomic Networks
• Share to Ferroptosis and cancer prognosis
• Share to Hepatocellular Carcinoma Treatment and Prognosis