Functional Relationship Inference

Functional Relationship Inference is a computational method that identifies and characterizes the biological interactions between genes or proteins based on their shared functional annotations, genomic context, or co-expression patterns within a functional network.

259

Publications

25.8K

Citations

935

Authors

427

Institutions

Publications per year

2017–2026

64

Authors

935

  1. CV
    Christian von Mering

    University of Zurich, Switzerland

    5 publications · 6.6K citations

    5

    h-index

  2. DE
    David Eisenberg

    University of California, Los Angeles, United States

    4 publications · 712 citations

    4

    h-index

  3. LJ
    Lars Juhl Jensen

    University of Copenhagen, Denmark

    4 publications · 3.5K citations

    4

    h-index

  4. IL
    Insuk Lee

    Yonsei University, South Korea

    4 publications · 383 citations

    4

    h-index

  5. PB
    Peer Bork

    European Molecular Biology Laboratory, Germany

    4 publications · 3.5K citations

    4

    h-index

1–5 of 935

Venues

  1. Nucleic Acids Research

    20 publications · 4.7K citations

    19

    h-index

  2. Bioinformatics

    21 publications · 3.7K citations

    17

    h-index

  3. BMC Bioinformatics

    15 publications · 1.2K citations

    13

    h-index

  4. PLoS ONE

    13 publications · 954 citations

    12

    h-index

  5. Journal of Computational Biology

    5 publications · 282 citations

    7

    h-index

1–5