Bayesian Omics Integration

Bayesian Omics Integration is a computational framework that employs Bayesian statistical models to jointly analyze multiple omics data types by probabilistically representing uncertainties and dependencies across biological layers.

4

Publications

496

Citations

33

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

33

  1. MA
    Mark A. Knepper

    National Heart Lung and Blood Institute, United States

    2 publications · 42 citations

    2

    h-index

  2. YH
    Yang Hai

    Harbor–UCLA Medical Center, United States

    1 publications · 154 citations

    1

    h-index

  3. CG
    Cui Guo

    University of Michigan, United States

    1 publications · 300 citations

    1

    h-index

  4. QW
    Qiang Wei

    Vanderbilt University, United States

    1 publications · 154 citations

    1

    h-index

  5. JC
    Jiaxu Chen

    Jinan University, China

    1 publications · 17 citations

    1

    h-index

1–5 of 33

Venues

  1. Physiological Genomics

    1 publications · 17 citations

    1

    h-index

  2. Nature Neuroscience

    1 publications · 154 citations

    1

    h-index

  3. Biostatistics

    1 publications · 300 citations

    1

    h-index

  4. 1

    h-index

  5. PLoS Computational Biology

    1 publications · 10 citations

1–5