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
Parents
32
Michael Kleyer, Juliane Trinogga, Miguel A. Cebrián‐Piqueras et al. · Journal of Ecology · 2018 · 199 citations · Full text
1–5 of 32
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University of California, Los Angeles, United States
1 publications · 140 citations
2
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2
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2
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1–5 of 186
101
University of California, Los Angeles
Los Angeles, United States
3 h-index
6 publications
320 citations
Centre for Research on Ecology and Forestry Applications
Cerdanyola del Vallès, Spain
2 h-index
4 publications
206 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
11 publications
619 citations

Estonian University of Life Sciences
Tartu, Estonia
2 h-index
3 publications
260 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
1K citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
4 publications
259 citations
German Centre for Integrative Biodiversity Research
Leipzig, Germany
2 h-index
2 publications
170 citations
Carl von Ossietzky Universität Oldenburg
Oldenburg, Germany
2 h-index
17 publications
1.7K citations
1–8 of 101
3 publications · 287 citations
3
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2 publications · 218 citations
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1 publications · 56 citations
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2 publications · 220 citations
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2 publications · 139 citations
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