Trajectory-based Pathway Dynamics

Trajectory-Based Pathway Dynamics is a computational framework that models the temporal evolution of pathway activity in single cells by aligning them along inferred developmental or dynamic trajectories, thereby enabling the reconstruction of continuous biological processes from static single-cell expression data.

1

Publications

484

Citations

5

Authors

3

Institutions

Publications per year

2017–2026

0

Authors

5

  1. SS
    Sarah S. Chance

    University of California, Santa Barbara, United States

    1 publications · 484 citations

    1

    h-index

  2. AC
    Andrew C. Beall

    University of California, Santa Barbara, United States

    1 publications · 484 citations

    1

    h-index

  3. JM
    Jack M. Loomis

    University of California, Santa Barbara, United States

    1 publications · 484 citations

    1

    h-index

  4. RL
    Roberta L. Klatzky

    Carnegie Mellon University, United States

    1 publications · 484 citations

    1

    h-index

  5. RG
    Reginald G. Golledge

    University of California, Santa Barbara, United States

    1 publications · 484 citations

    1

    h-index

1–5 of 5

Institutions

3

  1. Massachusetts Institute of Technology

    Cambridge, United States

    1 h-index

    1 publications

    484 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    1 publications

    484 citations

  3. University of California, Santa Barbara

    Santa Barbara, United States

    1 h-index

    3 publications

    1.5K citations

1–3 of 3

Venues

  1. Psychological Science

    1 publications · 484 citations

    1

    h-index

1–1