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Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix
Gao, H.[1]; Zhang, T.[2]; Wu, Y.[3]; Jiang, L.[5]; Zhan, J.[6]; Li, J.[7]; Yang, R.[8]
刊名HEREDITY
2014
卷号113期号:6页码:526-532
ISSN号0018-067X
DOIhttp://dx.doi.org/10.1038/hdy.2014.57
URL标识查看原文
收录类别SCI(E)
WOS记录号WOS:000345131500006
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6162270
专题中国水产科学院
作者单位1.[1]Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China.
2.[2]Univ Notre Dame, Notre Dame, IN 46556 USA.
3.[3]Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China.
4.Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200030, Peoples R China.
5.[5]Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China.
6.[6]Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China.
7.[7]Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China.
8.[8]Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China.
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GB/T 7714
Gao, H.[1],Zhang, T.[2],Wu, Y.[3],et al. Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix[J]. HEREDITY,2014,113(6):526-532.
APA Gao, H.[1].,Zhang, T.[2].,Wu, Y.[3].,Jiang, L.[5].,Zhan, J.[6].,...&Yang, R.[8].(2014).Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix.HEREDITY,113(6),526-532.
MLA Gao, H.[1],et al."Multiple-trait genome-wide association study based on principal component analysis for residual covariance matrix".HEREDITY 113.6(2014):526-532.
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