Fine-grained Cell-type Resolution

Fine-Grained Cell-Type Resolution is a methodological advancement in cell-type deconvolution that achieves higher specificity in identifying rare or closely related cell subpopulations by resolving transcriptomic signals at a more granular level than conventional approaches.

5

Publications

1.5K

Citations

71

Authors

31

Institutions

Publications per year

2017–2026

4

Authors

71

  1. CD
    Catherine Diefenbach

    New York University, United States

    1 publications · 16 citations

    1

    h-index

  2. IA
    Ilseyar Akhmetzyanova

    Albert Einstein College of Medicine, United States

    1 publications · 16 citations

    1

    h-index

  3. CM
    Christian Marier

    New York University, United States

    1 publications · 16 citations

    1

    h-index

  4. ST
    Serhan Turunç

    Xiangya Hospital Central South University, China

    1 publications · 60 citations

    1

    h-index

  5. JH
    Jing He

    University of Pittsburgh, United States

    1 publications · 60 citations

    1

    h-index

1–5 of 71

Venues

  1. Nature Biotechnology

    1 publications · 1.2K citations

    1

    h-index

  2. Computer Methods and Programs in Biomedicine

    1 publications · 167 citations

    1

    h-index

  3. eLife

    1 publications · 60 citations

    1

    h-index

  4. Journal of Theoretical Biology

    1 publications · 37 citations

    1

    h-index

  5. Nature

    1 publications · 16 citations

    1

    h-index

1–5