Branch Point Detection

Branch Point Detection is a computational method in pseudotime analysis that identifies critical divergence points in single-cell trajectories where a homogeneous cell population begins to differentiate into distinct lineages.

44

Publications

2.2K

Citations

188

Authors

89

Institutions

Publications per year

2017–2026

16

Authors

188

  1. MK
    Matthew Kalensky

    University of Notre Dame, United States

    2 publications · 44 citations

    2

    h-index

  2. DW
    Denis W. Oesch

    United States Air Force Research Laboratory, United States

    2 publications · 46 citations

    2

    h-index

  3. YT
    Yinghui Tan

    Hunan University, China

    2 publications · 75 citations

    2

    h-index

  4. ML
    Min Liu

    Hunan University, China

    2 publications · 75 citations

    2

    h-index

  5. MK
    Manoj Karkee

    Washington State University, United States

    2 publications · 153 citations

    2

    h-index

1–5 of 188

Venues

  1. IEEE Transactions on Medical Imaging

    4 publications · 320 citations

    4

    h-index

  2. Nucleic Acids Research

    3 publications · 383 citations

    3

    h-index

  3. Computers and Electronics in Agriculture

    3 publications · 242 citations

    3

    h-index

  4. RNA

    2 publications · 85 citations

    2

    h-index

  5. Journal of the Optical Society of America A

    2 publications · 59 citations

    2

    h-index

1–5