Regulatory Network Simplification

Regulatory Network Simplification is a methodological approach in systems biology that reduces the complexity of gene regulatory networks by eliminating redundant or non-essential regulatory interactions while preserving core functional dynamics necessary for cellular viability and phenotype expression.

8

Publications

935

Citations

26

Authors

20

Institutions

Publications per year

2017–2026

1

Authors

26

  1. DV
    David Velázquez‐Fernández

    Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico

    1 publications · 17 citations

    1

    h-index

  2. MH
    Miguel Herrera-Hernández

    Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico

    1 publications · 17 citations

    1

    h-index

  3. LC
    Liang Chen

    University of Southern California, United States

    1 publications · 60 citations

    1

    h-index

  4. PS
    Paul Shannon

    Institute for Systems Biology, United States

    1 publications · 546 citations

    1

    h-index

  5. AC
    Amancio Carnero

    Instituto de Biomedicina de Sevilla, Spain

    1 publications · 14 citations

    1

    h-index

1–5 of 26

Venues

  1. Genome biology

    2 publications · 606 citations

    2

    h-index

  2. Physical Review E

    PRE · 1 publications · 139 citations

    1

    h-index

  3. 1

    h-index

  4. Oncotarget

    1 publications · 14 citations

    1

    h-index

  5. Journal of Theoretical Biology

    1 publications · 120 citations

    1

    h-index

1–5