Interaction Network Reconstruction

Interaction Network Reconstruction is a computational method that belongs to the class of network inference techniques, distinguished by its specific aim to infer and reconstruct the structure of biological or molecular interaction networks from experimental data.

93

Publications

4.8K

Citations

372

Authors

236

Institutions

Publications per year

2017–2026

32

Authors

372

  1. RC
    Ronald C. Taylor

    Pacific Northwest National Laboratory, United States

    2 publications · 33 citations

    2

    h-index

  2. CE
    Cesim Erten

    University of Arizona, United States

    2 publications · 22 citations

    2

    h-index

  3. MC
    Michelangelo Ceci

    University of Bari Aldo Moro, Italy

    2 publications · 103 citations

    2

    h-index

  4. YL
    Ying‐Cheng Lai

    Arizona State University, United States

    2 publications · 35 citations

    2

    h-index

  5. MW
    Michael Wibral

    Goethe University Frankfurt, Germany

    2 publications · 32 citations

    2

    h-index

1–5 of 372

Venues

  1. Bioinformatics

    11 publications · 612 citations

    11

    h-index

  2. PLoS ONE

    7 publications · 463 citations

    7

    h-index

  3. BMC Bioinformatics

    4 publications · 67 citations

    4

    h-index

  4. Physical review. E

    PRE · 4 publications · 70 citations

    4

    h-index

  5. Scientific Reports

    4 publications · 97 citations

    4

    h-index

1–5