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	Prediction of Protein-Protein Interactions Using Subcellular and Functional Localizations
	Cai, Yanliang ; Yu, Jiangsheng ; Wang, Hanpin
	2010
关键词	SACCHAROMYCES-CEREVISIAE GENE ONTOLOGY INFORMATION SEQUENCES NETWORKS TOOL
英文摘要	Protein-protein interaction (PPI) plays an important role in the living organisms, and a major goal of proteornics is to determine the PPI networks for the whole organisms. So both experimental and computational approaches to predict PPIs are urgently needed in the field of proteomics. In tins paper, four distinct protein encoding methods are proposed, based on the biological significance extracted from the categories of protein subcellular and functional localizations. And then, some classifiers are tested to prediction Pins. To show the robustness of classification and ensure the reliability of results, each classifier is examined by many independent random experiments of 10-fold cross validations. The model of random forest achieves sonic promising performance of PPIs.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000289457200034&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Biochemical Research Methods; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Mathematical & Computational Biology; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1007/978-3-642-15615-1_34
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/293048]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Cai, Yanliang,Yu, Jiangsheng,Wang, Hanpin. Prediction of Protein-Protein Interactions Using Subcellular and Functional Localizations. 2010-01-01.

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