Biological Network Inference

Biological Network Inference is a computational method that reconstructs functional interactions among biological entities by identifying statistically supported relationships from empirical data.

760

Publications

72.1K

Citations

2.8K

Authors

996

Institutions

Publications per year

2017–2026

208

Authors

2.8K

  1. SM
    Sach Mukherjee

    University of Warwick, United Kingdom

    10 publications · 786 citations

    10

    h-index

  2. EP
    Eric P. Xing

    Carnegie Mellon University, United States

    9 publications · 2.8K citations

    9

    h-index

  3. FE
    Frank Emmert‐Streib

    Tampere University, Finland

    9 publications · 494 citations

    9

    h-index

  4. EL
    Erik L. L. Sonnhammer

    Stockholm University, Sweden

    9 publications · 551 citations

    8

    h-index

  5. SM
    Satoru Miyano

    The University of Tokyo, Japan

    8 publications · 624 citations

    8

    h-index

1–5 of 2.8K

Venues

  1. Bioinformatics

    114 publications · 10.5K citations

    46

    h-index

  2. PLoS Computational Biology

    38 publications · 3.1K citations

    28

    h-index

  3. BMC Bioinformatics

    59 publications · 2.7K citations

    26

    h-index

  4. PLoS ONE

    44 publications · 2.1K citations

    25

    h-index

  5. BMC Systems Biology

    33 publications · 1.5K citations

    22

    h-index

1–5