Cluster Annotation
Cluster Annotation is a methodological contribution in single-cell data analysis that entails the biological interpretation of cell clusters by assigning biologically meaningful labels based on marker gene expression or functional profiles, thereby distinguishing it from other clustering steps through its focus on functional and biological identity inference.
57
Publications
4.7K
Citations
268
Authors
131
Institutions
Publications per year
2017–2026
30
57
AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations
Mike Kucera, Ruth Isserlin, Arkady Arkhangorodsky et al. · F1000Research · 2016 · 400 citations · Full text
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
Xin Shao, Jie Liao, Xiaoyan Lu et al. · iScience · 2020 · 315 citations · Full text
Life Sciences, Biology, Cell Biology +17
Application of independent component analysis to microarrays
Su‐In Lee, Serafim Batzoglou · Genome biology · 2003 · 261 citations · Full text
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131

University of Toronto
Toronto, Canada
3 h-index
12 publications
2.1K citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
70 citations
Gladstone Institutes
San Francisco, United States
2 h-index
2 publications
121 citations
University Health Network
Toronto, Canada
2 h-index
6 publications
363 citations
Johannes Gutenberg University Mainz
Mainz, Germany
2 h-index
3 publications
462 citations
Toronto General Hospital Research Institute
Toronto, Canada
2 h-index
2 publications
121 citations

Toronto General Hospital
Toronto, Canada
2 h-index
2 publications
121 citations
Humboldt-Universität zu Berlin
Berlin, Germany
2 h-index
5 publications
297 citations
1–8 of 131
7 publications · 352 citations
7
h-index
3 publications · 333 citations
3
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3 publications · 1.1K citations
3
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3 publications · 111 citations
3
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3 publications · 521 citations
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