Causal Network Reconstruction

Causal Network Reconstruction is a computational method that infers directed networks of causal relationships among variables from multi-omics data, distinguishing itself from associative or correlative network inference by explicitly modeling cause-effect dependencies grounded in causal principles.

77

Publications

5.1K

Citations

314

Authors

188

Institutions

Publications per year

2017–2026

38

Authors

314

  1. JR
    Jakob Runge

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    3 publications · 843 citations

    3

    h-index

  2. EC
    Elias Chaibub Neto

    Sage Bionetworks, United States

    2 publications · 156 citations

    2

    h-index

  3. NS
    Nadir Sella

    Institut Curie, France

    2 publications · 72 citations

    2

    h-index

  4. JT
    Jesper Tegnér

    Karolinska Institutet, Sweden

    2 publications · 93 citations

    2

    h-index

  5. BS
    Brian S. Yandell

    University of Wisconsin–Madison, United States

    2 publications · 156 citations

    2

    h-index

1–5 of 314

Venues

  1. Bioinformatics

    3 publications · 736 citations

    3

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 54 citations

    3

    h-index

  3. 3

    h-index

  4. Scientific Reports

    3 publications · 92 citations

    3

    h-index

  5. Molecular Systems Biology

    2 publications · 241 citations

    2

    h-index

1–5