Ontology highlight
ABSTRACT:
SUBMITTER: Rogers MF
PROVIDER: S-EPMC5599557 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Rogers Mark F MF Shihab Hashem A HA Gaunt Tom R TR Campbell Colin C
Scientific reports 20170914 1
For somatic point mutations in coding and non-coding regions of the genome, we propose CScape, an integrative classifier for predicting the likelihood that mutations are cancer drivers. Tested on somatic mutations, CScape tends to outperform alternative methods, reaching 91% balanced accuracy in coding regions and 70% in non-coding regions, while even higher accuracy may be achieved using thresholds to isolate high-confidence predictions. Positive predictions tend to cluster in genomic regions, ...[more]