Trajectory Graph Inference

Trajectory Graph Inference is a computational method that, within the field of single-cell genomics, reconstructs the high-dimensional state transitions of cellular differentiation or development by modeling inferred trajectories as directed graphs that represent branching and merging dynamics among cell states.

23

Publications

17.6K

Citations

127

Authors

73

Institutions

Publications per year

2017–2026

18

Authors

127

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    4 publications · 11.2K citations

    4

    h-index

  2. WS
    Wouter Saelens

    Ghent University, Belgium

    3 publications · 193 citations

    3

    h-index

  3. RC
    Robrecht Cannoodt

    VIB-UGent Center for Inflammation Research, Belgium

    3 publications · 193 citations

    3

    h-index

  4. FA
    F. Alexander Wolf

    Helmholtz Zentrum München, Germany

    3 publications · 11.2K citations

    3

    h-index

  5. YS
    Yvan Saeys

    Ghent University, Belgium

    3 publications · 193 citations

    3

    h-index

1–5 of 127

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 216 citations

    3

    h-index

  2. Genome biology

    2 publications · 11.1K citations

    2

    h-index

  3. 1

    h-index

  4. Frontiers in Aging Neuroscience

    1 publications · 23 citations

    1

    h-index

  5. Bioinformatics

    1 publications · 32 citations

    1

    h-index

1–5