Automated methods for cell type annotation on scRNA-seq data.
Automated methods for cell type annotation on scRNA-seq data.
复制标题
scRNA-seq数据上细胞类型注释的自动化方法。
DOI:
10.1016/j.csbj.2021.01.015
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发表时间:
2021
影响因子:
6
通讯作者:
Busskamp V
中科院分区:
文献类型:
--
作者:
Pasquini G;Rojo Arias JE;Schäfer P;Busskamp V
The advent of single-cell sequencing started a new era of transcriptomic and genomic research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type annotation is a crucial step in analyzing single-cell RNA sequencing data, yet manual annotation is time-consuming and partially subjective. As an alternative, tools have been developed for automatic cell type identification. Different strategies have emerged to ultimately associate gene expression profiles of single cells with a cell type either by using curated marker gene databases, correlating reference expression data, or transferring labels by supervised classification. In this review, we present an overview of the available tools and the underlying approaches to perform automated cell type annotations on scRNA-seq data.
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DOI:
10.1038/s41577-020-00426-6
发表时间:
2021-03
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
Hosokawa H;Rothenberg EV
通讯作者:
Rothenberg EV
影响因子:
46.9
作者:
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者:
Newell, Evan W.
影响因子:
64.5
作者:
Cowan CS;Renner M;De Gennaro M;Gross-Scherf B;Goldblum D;Hou Y;Munz M;Rodrigues TM;Krol J;Szikra T;Cuttat R;Waldt A;Papasaikas P;Diggelmann R;Patino-Alvarez CP;Galliker P;Spirig SE;Pavlinic D;Gerber-Hollbach N;Schuierer S;Srdanovic A;Balogh M;Panero R;Kusnyerik A;Szabo A;Stadler MB;Orgül S;Picelli S;Hasler PW;Hierlemann A;Scholl HPN;Roma G;Nigsch F;Roska B
通讯作者:
Roska B
影响因子:
3
作者:
Ekiz, H. Atakan;Conley, Christopher J.;O'Connell, Ryan M.
通讯作者:
O'Connell, Ryan M.
影响因子:
12.3
作者:
Abdelaal, Tamim;Michielsen, Lieke;Mahfouz, Ahmed
通讯作者:
Mahfouz, Ahmed