Semi-supervised Cell Type Annotation
Semi-Supervised Cell Type Annotation is a computational method in single-cell transcriptomics that integrates limited labeled cell type information with a larger set of unlabeled data to improve the accuracy and scalability of cell type identification.
17
Publications
1.6K
Citations
90
Authors
31
Institutions
Publications per year
2017–2026
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Parents
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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
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Walter and Eliza Hall Institute of Medical Research, Australia
2 publications · 138 citations
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Centre de Mathématiques Appliquées de l'École polytechnique
Palaiseau, France
2 h-index
2 publications
725 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
2 h-index
4 publications
276 citations
Ragon Institute of MGH, MIT and Harvard
Cambridge, United States
2 h-index
2 publications
725 citations

Peking University
Beijing, China
2 h-index
6 publications
279 citations

Helmholtz Zentrum München
Munich, Germany
2 h-index
14 publications
966 citations
Technical University of Munich
Munich, Germany
2 h-index
8 publications
552 citations
University of Michigan
Ann Arbor, United States
2 h-index
5 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
2 h-index
11 publications
3.7K citations
1–8 of 31
5 publications · 148 citations
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Repository · 3 publications · 64 citations
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1 publications · 699 citations
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1 publications · 23 citations
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1 publications · 28 citations
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