Selecting Informative Traits for Multivariate Quantitative T…
Established
14
Citations30
Refs2013
Year
Search Works
Work Details
- DOI 10.1534/genetics.113.155937
- PMID https://pubmed.ncbi.nlm.nih.gov/23979571
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/3813856
- OpenAlex ID W2109397675
- Type Article
- Language EN
- Published 27 Aug 2013
- Volume 195 (3)
- Pages 683–691
- Source Genetics
- Publisher Oxford University Press
- FWCI 0.66
- Countries 2
- Institutions 2
- Added 24 Jun 2016
- Updated 30 Oct 2026
External Links
MENU
0
Selecting Informative Traits for Multivariate Quantitative Trait Locus Mapping Helps to Gain Optimal Power
Article 2013 EN Green
A major consideration in multitrait analysis is which traits should be jointly analyzed. As a common strategy, multitrait analysis is performed either on pairs of traits or on all of traits. To fully exploit the power of multitrait analysis, we propose variable selection to choose a subset of informative traits for multitrait quantitative trait locus (QTL) mapping. The proposed method is very usef…
14
Citations
30
References
3
Authors
0.66
FWCI
Citations by Year
Last 8 yearsTopics
Keywords
Authors & Affiliations
3 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Riyan Cheng Corresponding | Australian National University (AU) | |
| 2 | Justin Borevitz | Australian National University (AU) | |
| 3 | Rebecca W. Doerge Corresponding | Purdue University West Lafayet… (US) | — |
Related Works
10Data: OpenAlex