Multi-omics Causal Inference

Multi-Omics Causal Inference is a computational and statistical framework that identifies directed relationships among biological variables derived from multiple molecular layers (e.g., genomics, transcriptomics, epigenomics, proteomics, and metabolomics) to infer causal mechanisms underlying complex traits and diseases.

48

Publications

2.1K

Citations

379

Authors

205

Institutions

Publications per year

2017–2026

39

Authors

379

  1. KH
    Ke Hao

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 66 citations

    2

    h-index

  2. DD
    Don D. Sin

    University of British Columbia, Canada

    2 publications · 66 citations

    2

    h-index

  3. PJ
    Philippe Joubert

    Université Laval, Canada

    2 publications · 66 citations

    2

    h-index

  4. CX
    Chen Xi Yang

    University of British Columbia, Canada

    2 publications · 66 citations

    2

    h-index

  5. YB
    Yohan Bossé

    Université Laval, Canada

    2 publications · 66 citations

    2

    h-index

1–5 of 379

Venues

  1. medRxiv

    Repository · 2 publications · 23 citations

    2

    h-index

  2. International Journal of Molecular Sciences

    IJMS · 2 publications · 48 citations

    2

    h-index

  3. Frontiers in Genetics

    2 publications · 37 citations

    2

    h-index

  4. Human Genetics

    1 publications · 53 citations

    1

    h-index

  5. Amino Acids

    1 publications · 38 citations

    1

    h-index

1–5