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...
Main Authors: | Mermel, Craig H., Schumacher, Steven E., Hill, Barbara, Meyerson, Matthew L., Beroukhim, Rameen, Getz, Gad |
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Other Authors: | Whitaker College of Health Sciences and Technology |
Format: | Article |
Language: | en_US |
Published: |
BioMed Central Ltd.
2011
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Online Access: | http://hdl.handle.net/1721.1/66962 |
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