Unsupervised Cell Type Annotation
Unsupervised Cell Type Annotation is a computational methodology in single-cell genomics that assigns cell type labels to unlabeled biological cells based on intrinsic patterns and structures discovered directly from high-dimensional transcriptomic data without relying on prior knowledge or reference datasets.
16
Publications
1.9K
Citations
103
Authors
51
Institutions
Publications per year
2017–2026
14
Parents
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Single-Cell Transcriptomics of the Human Endocrine Pancreas
Yue J. Wang, Jonathan Schug, Kyoung‐Jae Won et al. · Diabetes · 2016 · 480 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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Icahn School of Medicine at Mount Sinai
New York, United States
3 h-index
4 publications
149 citations
University of Washington
Seattle, United States
2 h-index
5 publications
158 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
The University of Texas at Arlington
Arlington, United States
2 h-index
2 publications
612 citations

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

University of Toronto
Toronto, Canada
2 h-index
2 publications
73 citations
University of Massachusetts Chan Medical School
Worcester, United States
2 h-index
2 publications
73 citations
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Repository · 6 publications · 108 citations
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2 publications · 649 citations
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2 publications · 302 citations
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1 publications · 62 citations
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1 publications · 480 citations
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