| dc.contributor.author | Mermel, Craig H. | |
| dc.contributor.author | Schumacher, Steven E. | |
| dc.contributor.author | Hill, Barbara | |
| dc.contributor.author | Meyerson, Matthew L. | |
| dc.contributor.author | Beroukhim, Rameen | |
| dc.contributor.author | Getz, Gad | |
| dc.date.accessioned | 2011-11-07T21:27:08Z | |
| dc.date.available | 2011-11-07T21:27:08Z | |
| dc.date.issued | 2011-04 | |
| dc.date.submitted | 2011-02 | |
| dc.identifier.issn | 1474-760X | |
| dc.identifier.issn | 1474-7596 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/66962 | |
| dc.description.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. | en_US |
| dc.language.iso | en_US | |
| dc.publisher | BioMed Central Ltd. | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1186/gb-2011-12-4-r41 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/2.0/ | en_US |
| dc.source | BMC | en_US |
| dc.title | GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Mermel, Craig H et al. “GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers.” Genome Biology 12 (2011): R41. | en_US |
| dc.contributor.department | Whitaker College of Health Sciences and Technology | en_US |
| dc.contributor.department | Broad Institute of MIT and Harvard | en_US |
| dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
| dc.contributor.approver | Meyerson, Matthew L. | |
| dc.contributor.mitauthor | Mermel, Craig H. | |
| dc.contributor.mitauthor | Schumacher, Steven E. | |
| dc.contributor.mitauthor | Hill, Barbara | |
| dc.contributor.mitauthor | Meyerson, Matthew L. | |
| dc.contributor.mitauthor | Beroukhim, Rameen | |
| dc.contributor.mitauthor | Getz, Gad | |
| dc.relation.journal | Genome Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Mermel, Craig H; Schumacher, Steven E; Hill, Barbara; Meyerson, Matthew L; Beroukhim, Rameen; Getz, Gad | en |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |
