Boolean Signaling Networks

Boolean Signaling Networks is a computational modeling framework that represents cellular signal transduction pathways as directed graphs with nodes adopting binary states and logical rules governing state transitions, thereby enabling qualitative analysis of network behavior under discrete dynamics.

29

Publications

1.4K

Citations

110

Authors

52

Institutions

Publications per year

2017–2026

4

Variants

Boolean Signaling Models

Authors

110

  1. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    5 publications · 470 citations

    5

    h-index

  2. SK
    Steffen Klamt

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    5 publications · 586 citations

    5

    h-index

  3. EK
    Edda Klipp

    Humboldt-Universität zu Berlin, Germany

    3 publications · 65 citations

    3

    h-index

  4. RH
    Rebecca Hemenway

    Max Planck Institute for Dynamics of Complex Technical Systems, Germany

    3 publications · 413 citations

    3

    h-index

  5. CG
    Carito Guziołowski

    Centre National de la Recherche Scientifique, France

    2 publications · 57 citations

    2

    h-index

1–5 of 110

Venues

  1. PLoS Computational Biology

    5 publications · 469 citations

    5

    h-index

  2. Bioinformatics

    5 publications · 183 citations

    5

    h-index

  3. Journal of Computational Biology

    3 publications · 109 citations

    3

    h-index

  4. BMC Bioinformatics

    2 publications · 37 citations

    2

    h-index

  5. PLoS ONE

    2 publications · 90 citations

    2

    h-index

1–5