A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes

	A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes
	Bi, Jinbo 1; Sun, Jiangwen 1; Xu, Tingyang 1; Lu, Jin 1; Ma, Yansong 2; Qiu, Lijuan 2
刊名	2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
	2014
页码	-
关键词	multi-view data analysis multi-view clustering soybean population structure soybean trait analysis
ISSN号	2156-1125
通讯作者	Bi, Jinbo
英文摘要	Soybean is one of the most important crops for food, feed and bio-energy world-wide. The study of soybean phenotypic variation at different geographical locations can help the understanding of soybean domestication, population structure of soybean, and the conservation of soybean biodiversity. We investigate if soybean varieties can be identified that they differ from other varieties on multiple traits even when growing at different geographical locations. When a collection of traits are observed for the same soybean type at different locations (different views), joint analysis of the multiple-view data is required in order to identify the same soybean clusters based on data from different locations. We employ a new multi-view singular value decomposition approach that simultaneously decomposes the data matrix gathered at each location into sparse singular vectors. This approach is able to group soybean samples consistently across the different locations and simultaneously identify the phenotypes at each location on which the soybean samples within a cluster are the most similar. Comparison with several latest multi-view co-clustering methods demonstrates the superior performance of the proposed approach.
学科主题	Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology
语种	英语
出版者	IEEE
WOS记录号	WOS:000377412300028
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/4958]
专题	作物科学研究所_分子生物学系
作者单位	1.Univ Connecticut, Dept Comp Sci & Engn, Storrs, CT 06269 USA 2.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100193, Peoples R China
推荐引用方式 GB/T 7714	Bi, Jinbo,Sun, Jiangwen,Xu, Tingyang,et al. A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes[J]. 2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),2014:-.
APA	Bi, Jinbo,Sun, Jiangwen,Xu, Tingyang,Lu, Jin,Ma, Yansong,&Qiu, Lijuan.(2014).A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes.2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),-.
MLA	Bi, Jinbo,et al."A Sparse Integrative Cluster Analysis for Understanding Soybean Phenotypes".2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) (2014):-.