Boolean Gene Networks

Boolean Gene Networks is a computational modeling framework that represents gene regulatory interactions using Boolean logic, where each gene's expression state is treated as a binary variable (on/off) and regulatory rules are defined by logical operators, distinguishing it from continuous or stochastic gene network models by its discrete and deterministic dynamics.

227

Publications

16.2K

Citations

554

Authors

326

Institutions

Publications per year

2017–2026

42

Variants

Boolean Genetic Networks

Authors

554

  1. ER
    Edward R. Dougherty

    Texas A&M University, United States

    16 publications · 1.2K citations

    14

    h-index

  2. MI
    Mahdi Imani

    Texas A&M University, United States

    12 publications · 465 citations

    12

    h-index

  3. UB
    Ulisses Braga-Neto

    Texas A&M University, United States

    12 publications · 464 citations

    12

    h-index

  4. AD
    Aniruddha Datta

    Texas A&M University, United States

    8 publications · 475 citations

    8

    h-index

  5. SK
    Stuart Kauffman

    Institute for Systems Biology, United States

    7 publications · 1.3K citations

    7

    h-index

1–5 of 554

Venues

  1. Bioinformatics

    16 publications · 1.7K citations

    15

    h-index

  2. BMC Bioinformatics

    12 publications · 501 citations

    12

    h-index

  3. PLoS ONE

    10 publications · 498 citations

    10

    h-index

  4. Journal of Theoretical Biology

    8 publications · 1.6K citations

    8

    h-index

  5. 7

    h-index

1–5