inFRank: a ranking-based identification of influential genes in biological networks
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DOI: 10.18632/oncotarget.11878
Abstract: 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… read more here.
Keywords: ranking based; biological networks; identification influential; infrank ranking ... See more keywords