Scientific Publications

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

Publication TypeJournal Article
AuthorsMermel, CH, Schumacher SE, Hill B., Meyerson ML, Beroukhim R., and Getz G.
AbstractWe 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.
Year of Publication2012
JournalGenome biology
Volume12
Issue4
PagesR41
Date Published (YYYY/MM/DD)2012/01/09
ISSN Number1465-6906
DOI10.1186/gb-2011-12-4-r41
PubMedhttp://www.ncbi.nlm.nih.gov/pubmed/21527027?dopt=Abstract