期刊
NATURE METHODS
卷 16, 期 10, 页码 983-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41592-019-0535-3
关键词
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资金
- NIH [DP1HG007811, R01HG006283, U54DK107979, U54HL145611, DP2HD088158, RC2DK114777, R01HL118342]
- Paul G. Allen Frontiers Group
- Alfred P. Sloan Foundation Research Fellowship
- National Science Foundation Graduate Research Fellowship [DGE-1256082]
Single-cell molecular profiling technologies are gaining rapid traction, but the manual process by which resulting cell types are typically annotated is labor intensive and rate-limiting. We describe Garnett, a tool for rapidly annotating cell types in single-cell transcriptional profiling and single-cell chromatin accessibility datasets, based on an interpretable, hierarchical markup language of cell type-specific genes. Garnett successfully classifies cell types in tissue and whole organism datasets, as well as across species.
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