Single-cell Fate Mapping

Single-Cell Fate Mapping is a computational framework that reconstructs the developmental trajectories of individual cells by inferring lineage relationships and fate decisions from high-dimensional single-cell transcriptomic data.

55

Publications

8.3K

Citations

492

Authors

164

Institutions

Publications per year

2017–2026

49

Variants

Single-cell Trajectory Inference

Authors

492

  1. DP
    Dana Pe’er

    Memorial Sloan Kettering Cancer Center, United States

    4 publications · 959 citations

    4

    h-index

  2. MS
    Manu Setty

    Memorial Sloan Kettering Cancer Center, United States

    4 publications · 959 citations

    4

    h-index

  3. ML
    Marius Lange

    Helmholtz Zentrum München, Germany

    3 publications · 864 citations

    3

    h-index

  4. MB
    Mostafa Bakhti

    Helmholtz Zentrum München, Germany

    3 publications · 864 citations

    3

    h-index

  5. MA
    Meshal Ansari

    Helmholtz Zentrum München, Germany

    3 publications · 864 citations

    3

    h-index

1–5 of 492

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 364 citations

    8

    h-index

  2. Cell Reports

    4 publications · 184 citations

    4

    h-index

  3. Cell

    4 publications · 951 citations

    4

    h-index

  4. Nature Methods

    2 publications · 1.2K citations

    3

    h-index

  5. Nature Communications

    3 publications · 503 citations

    3

    h-index

1–5