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

Publications

1.3K

Citations

59

Authors

27

Institutions

Publications per year

2017–2026

12

Authors

59

  1. DT
    Duyu Tang

    Harbin Institute of Technology, China

    2 publications · 612 citations

    2

    h-index

  2. YF
    Yuan Fang

    University of British Columbia, Canada

    2 publications · 612 citations

    2

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  3. FW
    Fang Wang

    Tencent (China), China

    2 publications · 612 citations

    2

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  4. JH
    Junzhou Huang

    The University of Texas at Arlington, United States

    2 publications · 612 citations

    2

    h-index

  5. WW
    Wenchuan Wang

    Beijing University of Chemical Technology, China

    2 publications · 612 citations

    2

    h-index

1–5 of 59

Venues

  1. Nature Machine Intelligence

    2 publications · 686 citations

    2

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  2. Briefings in Bioinformatics

    2 publications · 98 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 60 citations

    2

    h-index

  4. Nature Communications

    2 publications · 249 citations

    2

    h-index

  5. Scientific Reports

    1 publications · 13 citations

    1

    h-index

1–5