Article
A computational method for clinically relevant cancer stratification and driver mutation module discovery using personal genomics profiles.
BMC genomics - 1 Jan 2015
Wang Lin, Li Fuhai, Sheng Jianting, Wong Stephen T C
Abstract excerpt
BACKGROUND: Personalized genomics instability, e.g., somatic mutations, is believed to contribute to the heterogeneous drug responses in patient cohorts. However, it is difficult to discover personalized driver mutations that are predictive of drug sensitivity owing to diverse and complex mutations of individual patients. To circumvent this problem, a novel computational method is presented to discover potential...
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