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Article

inFRank: a ranking-based identification of influential genes in biological networks.

Oncotarget - 4 Jul 2017

Cui Xiuliang, Li Xiaofeng, Li Jing, Wang Xue, Sun Wen, Cheng Zhuo, Ding Jin, Wang Hongyang

Abstract excerpt

Capturing the predominant driver genes is critical in the analysis of high-throughput experimental data; however, existing methods scarcely include the unique characters of biological networks. Herein we introduced a ranking-based computational framework (inFRank) to rank the proteins by their influence. Using inFRank, we identified the top 20 influential genes in hepatocellular carcinoma (HCC). Network analysis...

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Identifiers

PMID: 27623074
DOI: 10.18632/oncotarget.11878
PMCID: PMC5546442

Genes

CDC20

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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