Missing Interaction Prediction

Missing Interaction Prediction is a methodological framework in ecological network inference that identifies and predicts潜在 interactions between species that are absent from empirical observations but are likely to exist based on structural, taxonomic, or environmental cues within the network.

11

Publications

434

Citations

28

Authors

15

Institutions

Publications per year

2017–2026

5

Authors

28

  1. IL
    Idaline Laigle

    Université de Sherbrooke, Canada

    2 publications · 74 citations

    2

    h-index

  2. PD
    Philippe Desjardins-Proulx

    Université du Québec à Rimouski, Canada

    2 publications · 74 citations

    2

    h-index

  3. KJ
    Kazem Jahanbakhsh

    University of Victoria, Canada

    2 publications · 41 citations

    2

    h-index

  4. VK
    Valerie King

    University of Victoria, Canada

    2 publications · 41 citations

    2

    h-index

  5. TP
    Timothée Poisot

    Université de Montréal, Canada

    2 publications · 74 citations

    2

    h-index

1–5 of 28

Venues

  1. PLoS Computational Biology

    1 publications · 76 citations

    1

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 97 citations

    1

    h-index

  3. mSystems

    1 publications · 66 citations

    1

    h-index

  4. PeerJ

    1 publications · 64 citations

    1

    h-index

  5. Ecology

    1 publications · 32 citations

    1

    h-index

1–5