scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data.
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| Title: | scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data. |
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| Authors: | Li R; Graduate Group in Biostatistics, University of California, Davis, Davis, CA, USA.; Genome Center, University of California, Davis, Davis, CA, USA., Quon G; Graduate Group in Biostatistics, University of California, Davis, Davis, CA, USA. gquon@ucdavis.edu.; Genome Center, University of California, Davis, Davis, CA, USA. gquon@ucdavis.edu.; Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA. gquon@ucdavis.edu. |
| Source: | Genome biology [Genome Biol] 2019 Sep 09; Vol. 20 (1), pp. 193. Date of Electronic Publication: 2019 Sep 09. |
| Publication Type: | Evaluation Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| 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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| ISSN: | 1474-760X |
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| DOI: | 10.1186/s13059-019-1806-0 |
