| Literature DB >> 30758821 |
Huiyu Sun1,2, Yincong Zhou2,3, Lijiang Fei1,2, Haide Chen1,2, Guoji Guo4,5.
Abstract
For decades, people have been trying to define cell type with the combination of expressed genes. The choice of the limited number of genes for the classification limits the precision of this system. Here, we build a "single-cell Mouse Cell Atlas (scMCA) analysis" pipeline based on scRNA-seq datasets covering all mouse cell types. We build the scMCA reference and then use the tool "scMCA" to match single-cell digital expression to its closest cell type.Entities:
Keywords: Mouse Cell Atlas; scMCA; scRNA-seq
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Year: 2019 PMID： 30758821 DOI： 10.1007/978-1-4939-9057-3_6
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745