Affiliation of Author(s):山东大学数学学院

Journal:Advanced Science

Abstract:Identification of a few cancer driver mutation genes from a much larger number of passenger mutation genes in cancer samples remains a highly challenging task. Here, a novel method for distinguishing the driver genes from the passenger genes by effective integration of somatic mutation data and molecular interaction data using a maximal mutational impact function (MaxMIF) is presented. When evaluated on six somatic mutation datasets of Pan‐Cancer and 19 datasets of different cancer types from TCGA, MaxMIF almost always significantly outperforms all the existing state‐of‐the‐art methods in ...

All the Authors:Gao, B.

First Author:Hou, Y.

Indexed by:Journal paper

Correspondence Author:Li*, G.,Su*, Z

Discipline:Natural Science

First-Level Discipline:Mathematics

Document Type:J

Volume:5

Issue:9

Translation or Not:no

Date of Publication:2018-07-01

Included Journals:SCI