GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

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 add...

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Bibliographic Details
Main Authors: Mermel, Craig H. (Contributor), Schumacher, Steven E. (Contributor), Hill, Barbara (Contributor), Meyerson, Matthew L. (Contributor), Beroukhim, Rameen (Contributor), Getz, Gad (Contributor)
Other Authors: Whitaker College of Health Sciences and Technology (Contributor), Broad Institute of MIT and Harvard (Contributor), Harvard University- (Contributor)
Format: Article
Language:English
Published: BioMed Central Ltd., 2011-11-07T21:27:08Z.
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