Multivariate Association Testing

Multivariate Association Testing is a statistical methodology that belongs to the class of association analysis techniques and differentiates itself by simultaneously evaluating the relationships between multiple omics variables and one or more phenotypic or molecular traits within a unified analytical framework.

77

Publications

9.3K

Citations

578

Authors

206

Institutions

Publications per year

2017–2026

14

Authors

578

  1. SB
    Saonli Basu

    University of Minnesota, United States

    3 publications · 84 citations

    3

    h-index

  2. DR
    Debashree Ray

    Johns Hopkins University, United States

    3 publications · 84 citations

    3

    h-index

  3. JM
    J. M. Lambert

    University of Southampton, United Kingdom

    3 publications · 581 citations

    3

    h-index

  4. WT
    W. T. Williams

    Commonwealth Scientific and Industrial Research Organisation, Australia

    3 publications · 581 citations

    3

    h-index

  5. AJ
    Andrew J. Saykin

    Indiana University – Purdue University Indianapolis, United States

    3 publications · 173 citations

    3

    h-index

1–5 of 578

Venues

  1. Genetic Epidemiology

    7 publications · 392 citations

    7

    h-index

  2. Journal of Ecology

    3 publications · 581 citations

    3

    h-index

  3. Biometrics

    3 publications · 91 citations

    3

    h-index

  4. 2

    h-index

  5. Ecological Monographs

    2 publications · 2.8K citations

    2

    h-index

1–5