Supervised Cell Type Annotation
Supervised Cell Type Annotation is a computational method in single-cell genomics that, as a member of the broader category of cell type annotation approaches, specifically employs labeled training data to guide the assignment of cell types to unlabeled cells based on gene expression profiles.
12
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1.3K
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59
Authors
27
Institutions
Publications per year
2017–2026
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SciBet as a portable and fast single cell type identifier
Chenwei Li, Baolin Liu, Boxi Kang et al. · Nature Communications · 2020 · 187 citations · Full text
Evaluation of Cell Type Annotation R Packages on Single-Cell RNA-Seq Data
Qianhui Huang, Yu Liu, Yuheng Du et al. · Genomics Proteomics & Bioinformatics · 2020 · 158 citations · Full text
A web server for comparative analysis of single-cell RNA-seq data
Amir Alavi, Matthew Ruffalo, Aiyappa Parvangada et al. · Nature Communications · 2018 · 62 citations · Full text
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The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
612 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
612 citations
Shanghai Children's Hospital
Shanghai, China
2 h-index
2 publications
612 citations
Tencent (China)
Shenzhen, China
2 h-index
12 publications
3.7K citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
1.2K citations

Northwestern Polytechnical University
Xi'an, China
1 h-index
3 publications
51 citations
Technical University of Munich
Munich, Germany
1 h-index
2 publications
72 citations

Griffith University
Brisbane, Australia
1 h-index
1 publications
41 citations
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2 publications · 686 citations
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2 publications · 98 citations
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Repository · 2 publications · 60 citations
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2 publications · 249 citations
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1 publications · 13 citations
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