Trajectory Inference

Trajectory Inference is a computational method in single-cell genomics that belongs to the broader class of dynamic modeling approaches, distinguished by its purpose of reconstructing continuous, high-dimensional cell state transitions from static single-cell RNA sequencing data to infer developmental or regulatory processes.

454

Publications

42.4K

Citations

3.2K

Authors

1K

Institutions

Publications per year

2017–2026

369

Authors

3.2K

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    10 publications · 12.4K citations

    10

    h-index

  2. RC
    Robrecht Cannoodt

    VIB-UGent Center for Inflammation Research, Belgium

    9 publications · 3.2K citations

    9

    h-index

  3. WS
    Wouter Saelens

    Ghent University, Belgium

    9 publications · 3.2K citations

    9

    h-index

  4. YS
    Yvan Saeys

    Ghent University, Belgium

    9 publications · 3.2K citations

    9

    h-index

  5. DP
    Dana Pe’er

    Memorial Sloan Kettering Cancer Center, United States

    8 publications · 2K citations

    8

    h-index

1–5 of 3.2K

Venues

  1. Nature Communications

    28 publications · 4.4K citations

    27

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 40 publications · 1.5K citations

    20

    h-index

  3. Bioinformatics

    21 publications · 954 citations

    18

    h-index

  4. arXiv (Cornell University)

    Repository · 19 publications · 930 citations

    13

    h-index

  5. Genome biology

    10 publications · 11.7K citations

    10

    h-index

1–5