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dc.contributor.authorKharchenko, Peter Vasili
dc.contributor.authorSilberstein, Lev
dc.contributor.authorScadden, David Thomas
dc.date.accessioned2018-06-20T16:23:16Z
dc.date.issued2014
dc.identifier.citationKharchenko, Peter V, Lev Silberstein, and David T Scadden. 2014. “Bayesian Approach to Single-Cell Differential Expression Analysis.” Nature Methods 11 (7) (May 18): 740–742. doi:10.1038/nmeth.2967.en_US
dc.identifier.issn1548-7091en_US
dc.identifier.issn1548-7105en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:37136863
dc.description.abstractSingle-cell data provide a means to dissect the composition of complex tissues and specialized cellular environments. However, the analysis of such measurements is complicated by high levels of technical noise and intrinsic biological variability. We describe a probabilistic model of expression-magnitude distortions typical of single-cell RNA-sequencing measurements, which enables detection of differential expression signatures and identification of subpopulations of cells in a way that is more tolerant of noise.en_US
dc.description.sponsorshipMolecular and Cellular Biologyen_US
dc.description.sponsorshipStem Cell and Regenerative Biologyen_US
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionofdoi:10.1038/nmeth.2967en_US
dash.licenseLAA
dc.subjectStatistical methodsen_US
dc.subjectGenome-wide analysis of gene expressionen_US
dc.subjectTranscriptomicsen_US
dc.titleBayesian approach to single-cell differential expression analysisen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalNature Methodsen_US
dash.depositing.authorScadden, David Thomas
dash.waiver2014-04-01
dc.date.available2018-06-20T16:23:16Z
dash.affiliation.otherHarvard Medical Schoolen_US
dc.identifier.doi10.1038/nmeth.2967*
workflow.legacycommentsFrom Waiver Table. aa.no can post with 6 month embargo once we get iten_US
dash.contributor.affiliatedSilberstein, Lev
dash.contributor.affiliatedScadden, David
dash.contributor.affiliatedKharchenko, Peter


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