Temporal Ordering Of Cells

Temporal Ordering of Cells is a computational inference task that determines the sequential arrangement of individual cells along a dynamic biological process based on high-dimensional molecular profiles, distinguishing it from related analyses by focusing specifically on reconstructing pseudotemporal trajectories reflective of underlying temporal progression.

41

Publications

13K

Citations

170

Authors

86

Institutions

Publications per year

2017–2026

14

Authors

170

  1. KR
    Kieran R. Campbell

    University of Oxford, United Kingdom

    2 publications · 101 citations

    2

    h-index

  2. CY
    Christopher Yau

    University of Oxford, United Kingdom

    2 publications · 101 citations

    2

    h-index

  3. SK
    Saori Kashiwagi

    Kyoto Prefectural University of Medicine, Japan

    1 publications · 2.3K citations

    1

    h-index

  4. AA
    Aly A. Khan

    University of Chicago, United States

    1 publications · 12 citations

    1

    h-index

  5. AR
    Andrea Rolong

    Vanderbilt University, United States

    1 publications · 27 citations

    1

    h-index

1–5 of 170

Venues

  1. Cell

    3 publications · 2.9K citations

    3

    h-index

  2. eLife

    3 publications · 131 citations

    3

    h-index

  3. PubMed

    Repository · 2 publications · 123 citations

    2

    h-index

  4. Journal of Theoretical Biology

    2 publications · 77 citations

    2

    h-index

  5. PLoS Computational Biology

    3 publications · 108 citations

    2

    h-index

1–5