De novo gene signature identification from single-cell RNA-seq with hierarchical Poisson factorization.
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| Title: | De novo gene signature identification from single-cell RNA-seq with hierarchical Poisson factorization. |
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| Authors: | Levitin HM; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Yuan J; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Cheng YL; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA., Ruiz FJ; Department of Computer Science, Columbia University, New York, NY, USA.; Department of Engineering, University of Cambridge, Cambridge, UK., Bush EC; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.; Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY, USA., Bruce JN; Department of Neurological Surgery, Columbia University Irving Medical Center, New York, NY, USA., Canoll P; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA., Iavarone A; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA.; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY, USA.; Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA., Lasorella A; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA.; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY, USA.; Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA., Blei DM; Department of Computer Science, Columbia University, New York, NY, USA david.blei@columbia.edu pas2182@cumc.columbia.edu.; Department of Statistics, Columbia University, New York, NY, USA., Sims PA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA david.blei@columbia.edu pas2182@cumc.columbia.edu.; Sulzberger Columbia Genome Center, Columbia University Irving Medical Center, New York, NY, USA.; Department of Biochemistry and Molecular Biophysics, Columbia University Irving Medical Center, New York, NY, USA. |
| Source: | Molecular systems biology [Mol Syst Biol] 2019 Feb 22; Vol. 15 (2), pp. e8557. Date of Electronic Publication: 2019 Feb 22. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: EMBO Press Country of Publication: Germany NLM ID: 101235389 Publication Model: Electronic Cited Medium: Internet ISSN: 1744-4292 (Electronic) Linking ISSN: 17444292 NLM ISO Abbreviation: Mol Syst Biol |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1744-4292 |
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| DOI: | 10.15252/msb.20188557 |
