Trait Correlation Networks

Trait Correlation Networks is a computational framework that models the pairwise statistical associations among phenotypic traits as a network graph to infer underlying genetic and environmental dependencies in the context of trait architecture.

32

Publications

2.3K

Citations

186

Authors

101

Institutions

Publications per year

2017–2026

19

Authors

186

  1. MK
    Michael Kleyer

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 229 citations

    2

    h-index

  2. DC
    Dirk C. Albach

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 229 citations

    2

    h-index

  3. NJ
    Nathan J. B. Kraft

    University of California, Los Angeles, United States

    1 publications · 140 citations

    2

    h-index

  4. ÜN
    Ülo Niinemets

    Estonian University of Life Sciences, Estonia

    2 publications · 200 citations

    2

    h-index

  5. BB
    Bernd Blasius

    Carl von Ossietzky Universität Oldenburg, Germany

    2 publications · 229 citations

    2

    h-index

1–5 of 186

Venues

  1. New Phytologist

    3 publications · 287 citations

    3

    h-index

  2. Bioinformatics

    2 publications · 218 citations

    2

    h-index

  3. Personality and Individual Differences

    1 publications · 56 citations

    2

    h-index

  4. Journal of Ecology

    2 publications · 220 citations

    2

    h-index

  5. Genome biology

    2 publications · 139 citations

    2

    h-index

1–5