Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references.

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Bibliographic Details
Title: Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references.
Authors: Pool AH; Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA. allan-hermann.pool@utsouthwestern.edu.; Peter O'Donnell Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA. allan-hermann.pool@utsouthwestern.edu.; Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center, Dallas, TX, USA. allan-hermann.pool@utsouthwestern.edu., Poldsam H; Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia., Chen S; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA., Thomson M; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA., Oka Y; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA. yoka@caltech.edu.
Source: Nature methods [Nat Methods] 2023 Oct; Vol. 20 (10), pp. 1506-1515. Date of Electronic Publication: 2023 Sep 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1548-7105
DOI:10.1038/s41592-023-02003-w