| Literature DB >> 32232401 |
Ziwei Wang, Hui Ding, Quan Zou.
Abstract
Single-cell RNA sequencing (scRNA-seq) has generated numerous data and renewed our understanding of biological phenomena at the cellular scale. Identification of cell types has been one of the most prevalent means for interpreting scRNA-seq data, based upon which connections are made between the transcriptome and phenotype. Herein, we attempt to review the methods and tools that dedicate to the task regarding their feature and usage and look at the possibilities for scRNA-seq development in the near future.Keywords: annotation; cell type; classification; clustering; identity; scRNA-seq
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Year: 2020 PMID: 32232401 DOI: 10.1093/bfgp/elaa003
Source DB: PubMed Journal: Brief Funct Genomics ISSN: 2041-2649 Impact factor: 4.241