Pseudotime Inference

Pseudotime Inference is a computational method in single-cell transcriptomics that reconstructs the temporal progression of cellular processes by ordering cells along a hypothetical trajectory based on their transcriptional profiles, thereby inferring dynamic changes in gene expression without requiring temporal measurements.

60

Publications

8.1K

Citations

298

Authors

151

Institutions

Publications per year

2017–2026

55

Authors

298

  1. CY
    Christopher Yau

    University of Oxford, United Kingdom

    5 publications · 325 citations

    5

    h-index

  2. KR
    Kieran R. Campbell

    University of Oxford, United Kingdom

    5 publications · 325 citations

    5

    h-index

  3. HJ
    Hongkai Ji

    Johns Hopkins University, United States

    2 publications · 111 citations

    2

    h-index

  4. AK
    Anna Klimovskaia

    European X-Ray Free-Electron Laser, Germany

    2 publications · 101 citations

    2

    h-index

  5. DR
    Davide Risso

    University of California, Berkeley, United States

    2 publications · 3.7K citations

    2

    h-index

1–5 of 298

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 505 citations

    8

    h-index

  2. Bioinformatics

    8 publications · 654 citations

    8

    h-index

  3. Nature Communications

    7 publications · 802 citations

    7

    h-index

  4. BMC Bioinformatics

    3 publications · 118 citations

    3

    h-index

  5. PLoS Computational Biology

    4 publications · 142 citations

    3

    h-index

1–5