High-dimensional Trait Analysis

High-Dimensional Trait Analysis is a multivariate trait analysis method that specifically addresses the statistical and computational challenges of modeling a large number of phenotypic or genotypic traits simultaneously, where the dimensionality of the trait space approaches or exceeds the sample size.

32

Publications

1.8K

Citations

132

Authors

58

Institutions

Publications per year

2017–2026

11

Authors

132

  1. JC
    Josef C. Uyeda

    Virginia Tech, United States

    2 publications · 316 citations

    2

    h-index

  2. MW
    Matthew W. Pennell

    University of British Columbia, Canada

    2 publications · 316 citations

    2

    h-index

  3. YW
    Yuanjia Wang

    Columbia University, United States

    2 publications · 41 citations

    2

    h-index

  4. TA
    Thomas A. Widiger

    University of Kentucky, United States

    2 publications · 121 citations

    2

    h-index

  5. DS
    Daniel S. Caetano

    University of Idaho, United States

    2 publications · 316 citations

    2

    h-index

1–5 of 132

Venues

  1. Assessment

    ASM · 2 publications · 181 citations

    2

    h-index

  2. Systematic Biology

    2 publications · 344 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 30 citations

    2

    h-index

  4. Bioinformatics

    2 publications · 79 citations

    2

    h-index

  5. Personality and Mental Health

    1 publications · 24 citations

    1

    h-index

1–5