Cellular Progression Modeling

Cellular Progression Modeling is a computational approach within trajectory inference that reconstructs the temporal ordering of cells along dynamic biological processes by inferring latent progression paths from high-dimensional single-cell data.

27

Publications

2.3K

Citations

92

Authors

64

Institutions

Publications per year

2017–2026

8

Authors

92

  1. MD
    Michelle D. Tadmor

    Columbia University, United States

    2 publications · 1.1K citations

    2

    h-index

  2. KR
    Kieran R. Campbell

    University of Oxford, United Kingdom

    2 publications · 163 citations

    2

    h-index

  3. CY
    Christopher Yau

    University of Oxford, United Kingdom

    2 publications · 163 citations

    2

    h-index

  4. DP
    Dana Pe’er

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 1.1K citations

    2

    h-index

  5. AM
    Ahmed Mahfouz

    Leiden University Medical Center, Netherlands

    1 publications · 70 citations

    1

    h-index

1–5 of 92

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 224 citations

    3

    h-index

  2. Journal of Mathematical Biology

    3 publications · 70 citations

    3

    h-index

  3. Bioinformatics

    2 publications · 160 citations

    2

    h-index

  4. PLoS Computational Biology

    2 publications · 126 citations

    2

    h-index

  5. 2

    h-index

1–5