C³: Consensus Cancer Driver Gene Caller.

ABSTRACT: Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells. A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic mutations. To address this issue, we present the first web-based application, consensus cancer driver gene caller (C³), to identify the consensus driver genes using six different complementary strategies, i.e., frequency-based, machine learning-based, functional bias-based, clustering-based, statistics model-based, and network-based strategies. This application allows users to specify customized operations when calling driver genes, and provides solid statistical evaluations and interpretable visualizations on the integration results. C³ is im

SUBMITTER: Zhu CY 

PROVIDER: S-EPMC6818389 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature