Enhanced protein fold recognition through a novel data integration approach

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	Enhanced protein fold recognition through a novel data integration approach
	Ying, Yiming 1; Huang, Kaizhu 2; Campbell, Colin 1
刊名	BMC BIOINFORMATICS
	2009-08-26
卷号	10
英文摘要	Background: Protein fold recognition is a key step in protein three-dimensional (3D) structure discovery. There are multiple fold discriminatory data sources which use physicochemical and structural properties as well as further data sources derived from local sequence alignments. This raises the issue of finding the most efficient method for combining these different informative data sources and exploring their relative significance for protein fold classification. Kernel methods have been extensively used for biological data analysis. They can incorporate separate fold discriminatory features into kernel matrices which encode the similarity between samples in their respective data sources.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Biochemical Research Methods ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
研究领域[WOS]	Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Mathematical & Computational Biology
关键词[WOS]	SUPPORT VECTOR MACHINES ; NETWORK INFERENCE ; NEURAL NETWORKS ; GENOMIC DATA ; PREDICTION ; SEQUENCE ; MATRIX
收录类别	SCI
语种	英语
WOS记录号	WOS:000271117000001
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3060]
专题	自动化研究所_模式识别国家重点实验室_模式分析与学习团队
作者单位	1.Univ Bristol, Dept Engn Math, Bristol BS8 1TR, Avon, England 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Ying, Yiming,Huang, Kaizhu,Campbell, Colin. Enhanced protein fold recognition through a novel data integration approach[J]. BMC BIOINFORMATICS,2009,10.
APA	Ying, Yiming,Huang, Kaizhu,&Campbell, Colin.(2009).Enhanced protein fold recognition through a novel data integration approach.BMC BIOINFORMATICS,10.
MLA	Ying, Yiming,et al."Enhanced protein fold recognition through a novel data integration approach".BMC BIOINFORMATICS 10(2009).