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dc.contributor.authorTaylor, Barry S.
dc.contributor.authorBarretina, Jordi
dc.contributor.authorSocci, Nicholas D.
dc.contributor.authorDeCarolis, Penelope
dc.contributor.authorLadanyi, Marc
dc.contributor.authorSander, Chris
dc.contributor.authorGibson, Greg
dc.contributor.authorMeyerson, Matthew Langer
dc.contributor.authorSinger, Samuel
dc.date.accessioned2012-02-05T22:17:45Z
dc.date.issued2008
dc.identifier.citationTaylor, Barry S., Jordi Barretina, Nicholas D. Socci, Penelope DeCarolis, Marc Ladanyi, Matthew Meyerson, Samuel Singer, and Chris Sander. 2008. Functional Copy-Number Alterations in Cancer. PLoS ONE 3(9): e3179.en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:8123178
dc.description.abstractUnderstanding the molecular basis of cancer requires characterization of its genetic defects. DNA microarray technologies can provide detailed raw data about chromosomal aberrations in tumor samples. Computational analysis is needed (1) to deduce from raw array data actual amplification or deletion events for chromosomal fragments and (2) to distinguish causal chromosomal alterations from functionally neutral ones. We present a comprehensive computational approach, RAE, designed to robustly map chromosomal alterations in tumor samples and assess their functional importance in cancer. To demonstrate the methodology, we experimentally profile copy number changes in a clinically aggressive subtype of soft-tissue sarcoma, pleomorphic liposarcoma, and computationally derive a portrait of candidate oncogenic alterations and their target genes. Many affected genes are known to be involved in sarcomagenesis; others are novel, including mediators of adipocyte differentiation, and may include valuable therapeutic targets. Taken together, we present a statistically robust methodology applicable to high-resolution genomic data to assess the extent and function of copy-number alterations in cancer.en_US
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofdoi://10.1371/journal.pone.0003179en_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2527508/pdf/en_US
dash.licenseLAA
dc.subjectoncologyen_US
dc.subjectsarcomasen_US
dc.subjectlung canceren_US
dc.subjectgenetics and genomicsen_US
dc.subjectmedical geneticsen_US
dc.subjectgenomicsen_US
dc.subjectcancer geneticsen_US
dc.subjectbioinformaticsen_US
dc.subjectcomputational biologyen_US
dc.titleFunctional Copy-Number Alterations in Canceren_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalPLoS ONEen_US
dash.depositing.authorMeyerson, Matthew Langer
dc.date.available2012-02-05T22:17:45Z
dash.affiliation.otherHMS^Pathologyen_US
dc.identifier.doi10.1371/journal.pone.0003179*
dash.authorsorderedfalse
dash.contributor.affiliatedMeyerson, Matthew


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