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, Schumacher, Steven E, Hill, Barbara, Meyerson, Matthew L, Beroukhim, Rameen, Getz, Gad
Format:	Artigo
Language:	Inglês
Published:	BioMed Central 2011
Subjects:	Method
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC3218867/ https://ncbi.nlm.nih.gov/pubmed/21527027 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2011-12-4-r41
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GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

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