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dc.contributor.authorZang, Chongzhien_US
dc.contributor.authorWang, Taoen_US
dc.contributor.authorDeng, Keen_US
dc.contributor.authorLi, Boen_US
dc.contributor.authorHu, Sheng'enen_US
dc.contributor.authorQin, Qianen_US
dc.contributor.authorXiao, Tengfeien_US
dc.contributor.authorZhang, Shihuaen_US
dc.contributor.authorMeyer, Clifford A.en_US
dc.contributor.authorHe, Housheng Hansenen_US
dc.contributor.authorBrown, Mylesen_US
dc.contributor.authorLiu, Jun S.en_US
dc.contributor.authorXie, Yangen_US
dc.contributor.authorLiu, X. Shirleyen_US
dc.date.accessioned2016-06-14T18:53:09Z
dc.date.issued2016en_US
dc.identifier.citationZang, C., T. Wang, K. Deng, B. Li, S. Hu, Q. Qin, T. Xiao, et al. 2016. “High-dimensional genomic data bias correction and data integration using MANCIE.” Nature Communications 7 (1): 11305. doi:10.1038/ncomms11305. http://dx.doi.org/10.1038/ncomms11305.en
dc.identifier.issn2041-1723en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:27320414
dc.description.abstractHigh-dimensional genomic data analysis is challenging due to noises and biases in high-throughput experiments. We present a computational method matrix analysis and normalization by concordant information enhancement (MANCIE) for bias correction and data integration of distinct genomic profiles on the same samples. MANCIE uses a Bayesian-supported principal component analysis-based approach to adjust the data so as to achieve better consistency between sample-wise distances in the different profiles. MANCIE can improve tissue-specific clustering in ENCODE data, prognostic prediction in Molecular Taxonomy of Breast Cancer International Consortium and The Cancer Genome Atlas data, copy number and expression agreement in Cancer Cell Line Encyclopedia data, and has broad applications in cross-platform, high-dimensional data integration.en
dc.language.isoen_USen
dc.publisherNature Publishing Groupen
dc.relation.isversionofdoi:10.1038/ncomms11305en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833864/pdf/en
dash.licenseLAAen_US
dc.titleHigh-dimensional genomic data bias correction and data integration using MANCIEen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalNature Communicationsen
dash.depositing.authorZang, Chongzhien_US
dc.date.available2016-06-14T18:53:09Z
dc.identifier.doi10.1038/ncomms11305*
dash.authorsorderedfalse
dash.contributor.affiliatedLi, Bo
dash.contributor.affiliatedMeyer, Clifford
dash.contributor.affiliatedZang, Chongzhi
dash.contributor.affiliatedBrown, Myles
dash.contributor.affiliatedXiao, Tengfei
dash.contributor.affiliatedLiu, Jun


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