ContrastRank: a new method for ranking putative cancer driver genes and classification of tumor samples.

ABSTRACT:

Motivation

The recent advance in high-throughput sequencing technologies is generating a huge amount of data that are becoming an important resource for deciphering the genotype underlying a given phenotype. Genome sequencing has been extensively applied to the study of the cancer genomes. Although a few methods have been already proposed for the detection of cancer-related genes, their automatic identification is still a challenging task. Using the genomic data made available by The Cancer Genome Atlas Consortium (TCGA), we propose a new prioritization approach based on the analysis of the distribution of putative deleterious variants in a large cohort of cancer samples.

Results

In this paper, we present ContastRank, a new method for the prioritization of putative impaired

SUBMITTER: Tian R 

PROVIDER: S-EPMC4147919 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature