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

17

Authors

90

  1. SH
    Soroor Hediyeh-zadeh

    Walter and Eliza Hall Institute of Medical Research, Australia

    2 publications · 138 citations

    2

    h-index

  2. AA
    Amir Ali Moinfar

    Technical University of Munich, Germany

    2 publications · 138 citations

    2

    h-index

  3. MD
    Minghua Deng

    Peking University, China

    2 publications · 93 citations

    2

    h-index

  4. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    2 publications · 138 citations

    2

    h-index

  5. LZ
    Luke Zappia

    Helmholtz Zentrum München, Germany

    2 publications · 138 citations

    2

    h-index

1–5 of 90

Venues

  1. Bioinformatics

    5 publications · 148 citations

    5

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 64 citations

    3

    h-index

  3. Molecular Systems Biology

    1 publications · 699 citations

    1

    h-index

  4. Briefings in Bioinformatics

    1 publications · 23 citations

    1

    h-index

  5. BMC Genomics

    1 publications · 28 citations

    1

    h-index

1–5