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Genome biology DOI:10.1186/gb-2011-12-4-r41

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

Publication TypeJournal Article
Year of Publication2012
AuthorsMermel, CH, Schumacher, SE, Hill, B, Meyerson, ML, Beroukhim, R, Getz, G
JournalGenome biology
Volume12
Issue4
PagesR41
Date Published2012/01/09
ISSN1465-6906
Abstract

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 validate its performance in real and simulated datasets.

URLhttp://genomebiology.com/content/12/4/R41
DOI10.1186/gb-2011-12-4-r41
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/21527027?dopt=Abstract