GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers.
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ABSTRACT:
SUBMITTER: Mermel CH
PROVIDER: S-EPMC3218867 | biostudies-other | 2011
REPOSITORIES: biostudies-other
Publications
GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers.
Mermel Craig H CH Schumacher Steven E SE Hill Barbara B Meyerson Matthew L ML Beroukhim Rameen R Getz Gad G
Genome biology 20110428 4
We describe methods with enhanced power and specificity to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, we improve the estimation of background rates for each category. We additionally describe a probabilistic method for defining the boundaries of selected-for SCNA regions with user-defined confidence. Here we detail this revised computational approach, GISTIC2.0, and vali ...[more]
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