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
Parents
32
High-dimensional and large-scale phenotyping of yeast mutants
Yoshikazu Ohya, Jun Sese, Masashi Yukawa et al. · Proceedings of the National Academy of Sciences · 2005 · 321 citations · Full text
SNP interaction detection with Random Forests in high-dimensional genetic data
Stacey J. Winham, Colin Colby, Robert R. Freimuth et al. · BMC Bioinformatics · 2012 · 116 citations · Full text
Brett A. Murphy, Thomas H. Costello, Ashley L. Watts et al. · Assessment · 2018 · 84 citations
1–5 of 32
132
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 132
58
Columbia University
New York, United States
2 h-index
5 publications
92 citations

The University of Queensland
Brisbane, Australia
2 h-index
4 publications
82 citations

Imperial College London
London, United Kingdom
2 h-index
4 publications
211 citations
University of Idaho
Moscow, United States
2 h-index
6 publications
948 citations
Stanford University
Stanford, United States
2 h-index
3 publications
141 citations
University of Kentucky
Lexington, United States
2 h-index
4 publications
242 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
97 citations
Carnegie Department of Plant Biology
Stanford, United States
1 h-index
1 publications
47 citations
1–8 of 58
ASM · 2 publications · 181 citations
2
h-index
2 publications · 344 citations
2
h-index
Repository · 2 publications · 30 citations
2
h-index
2 publications · 79 citations
2
h-index
1 publications · 24 citations
1
h-index
1–5