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Selecting informative traits for multivariate quantitative trait locus mapping helps to gain optimal power

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Date

2013

Authors

Cheng, Riyan
Borevitz, Justin
Doerge, Rebecca

Journal Title

Journal ISSN

Volume Title

Publisher

Genetics Society of America

Abstract

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 va

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Keywords

Citation

URI

http://hdl.handle.net/1885/75427

Collections

ANU Research Publications

Source

Genetics (online)

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1534/genetics.113.155937

Restricted until

2037-12-31

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01_Cheng_Selecting_informative_traits_2013.pdf (2.4 MB)

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