Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model.

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Title: Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model.
Authors: Townes FW; Department of Biostatistics, Harvard University, Cambridge, MA, USA.; Present Address: Department of Computer Science, Princeton University, Princeton, NJ, USA., Hicks SC; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA., Aryee MJ; Department of Biostatistics, Harvard University, Cambridge, MA, USA.; Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.; Department of Pathology, Harvard Medical School, Boston, MA, USA., Irizarry RA; Department of Biostatistics, Harvard University, Cambridge, MA, USA. rafa@ds.dfci.harvard.edu.; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA. rafa@ds.dfci.harvard.edu.
Source: Genome biology [Genome Biol] 2019 Dec 23; Vol. 20 (1), pp. 295. Date of Electronic Publication: 2019 Dec 23.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model.
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  Data: <searchLink fieldCode="AU" term="%22Townes+FW%22">Townes FW</searchLink>; Department of Biostatistics, Harvard University, Cambridge, MA, USA.; Present Address: Department of Computer Science, Princeton University, Princeton, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Hicks+SC%22">Hicks SC</searchLink>; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Aryee+MJ%22">Aryee MJ</searchLink>; Department of Biostatistics, Harvard University, Cambridge, MA, USA.; Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.; Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.; Department of Pathology, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Irizarry+RA%22">Irizarry RA</searchLink>; Department of Biostatistics, Harvard University, Cambridge, MA, USA. rafa@ds.dfci.harvard.edu.; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA. rafa@ds.dfci.harvard.edu.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2019 Dec 23; Vol. 20 (1), pp. 295. <i>Date of Electronic Publication: </i>2019 Dec 23.
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  Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Study
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s13059-019-1861-6
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              Text: 2019 Dec 23
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