Microbial Interaction Network Inference

Microbial Interaction Network Inference is a methodological framework within network inference that specifically reconstructs ecological interaction networks among microbial taxa from observational omics data by distinguishing direct biological interactions from spurious associations.

46

Publications

5.1K

Citations

183

Authors

125

Institutions

Publications per year

2017–2026

36

Authors

183

  1. CP
    Charlie Pauvert

    Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, France

    3 publications · 60 citations

    3

    h-index

  2. JF
    João F. Matias Rodrigues

    SIB Swiss Institute of Bioinformatics, Switzerland

    2 publications · 197 citations

    2

    h-index

  3. DS
    Daniel Segrè

    Boston University, United States

    2 publications · 84 citations

    2

    h-index

  4. XB
    Xavier Bailly

    Centre National de la Recherche Scientifique, France

    2 publications · 47 citations

    2

    h-index

  5. CV
    Christian von Mering

    University of Zurich, Switzerland

    2 publications · 197 citations

    2

    h-index

1–5 of 183

Venues

  1. PLoS ONE

    4 publications · 141 citations

    4

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 4 publications · 78 citations

    4

    h-index

  3. mSystems

    4 publications · 192 citations

    4

    h-index

  4. Frontiers in Microbiology

    3 publications · 1.8K citations

    3

    h-index

  5. Cell Systems

    3 publications · 375 citations

    3

    h-index

1–5