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

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Bibliographic Details
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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