Spatial Cell State Modeling

Spatial Cell State Modeling is a computational framework that integrates spatially resolved molecular data to characterize and predict the phenotypic states of individual cells within their native tissue architectures, distinguishing itself by explicitly accounting for the influence of local microenvironments on cellular behavior.

20

Publications

774

Citations

100

Authors

67

Institutions

Publications per year

2017–2026

11

Authors

100

  1. JA
    Joshua A. Bull

    University of Oxford, United Kingdom

    1 publications · 37 citations

    1

    h-index

  2. KS
    Kyle Swanson

    Stanford University, United States

    1 publications · 151 citations

    1

    h-index

  3. DJ
    Dominik J. Otto

    Fred Hutch Cancer Center, United States

    1 publications · 35 citations

    1

    h-index

  4. VN
    Violeta N. Kovacheva

    University of Warwick, United Kingdom

    1 publications · 20 citations

    1

    h-index

  5. HB
    H. Blaize D’Angio

    Enable Biosciences (United States), United States

    1 publications · 151 citations

    1

    h-index

1–5 of 100

Venues

  1. Journal of Theoretical Biology

    2 publications · 59 citations

    2

    h-index

  2. Journal of Mathematical Biology

    2 publications · 116 citations

    2

    h-index

  3. PLoS Computational Biology

    2 publications · 66 citations

    2

    h-index

  4. Biosystems

    1 publications · 60 citations

    1

    h-index

  5. 1

    h-index

1–5