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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/26976

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/26976

Title:	Mining protein–protein interaction information on the internet
Authors:	李有仁 Lee, Hsi-Chieh;Huang, Szu-Wei;Li, Eldon Y.
Keywords:	Protein–protein interactions;Rule-based system;Data mining;Information retrieval;Keypage-based search
Date:	2006-01
Issue Date:	2009-01-17 15:58:50 (UTC+8)
Abstract:	In this study, a mining system is proposed for ﬁnding protein–protein interaction literatures from the databases on the Internet. In this system, we ﬁnd out discriminating words for protein–protein interaction by way of statistics and the results from literatures. A threshold is also evaluated to check if a given literature is related to protein–protein interactions. In addition, a keypage-based search mechanism is used to ﬁnd related papers for protein–protein interactions from a given document. To expand the search space and ensure better performance of the system, mechanisms for protein name identiﬁcation and databases for protein names are also developed. The system is designed with a web-based user interface and a job-dispatching kernel. Experiments are conducted and the results have been checked by a biomedical expert. The experimental results indicate that by using the proposed mining system, it is helpful for researchers to ﬁnd out protein–protein literatures from the overwhelming piece of information available on the biomedical databases on the Internet.
Relation:	Expert Systems with Applications, 30(1), 142-148
Source URI:	http://dx.doi.org/10.1016/j.eswa.2005.09.083
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.eswa.2005.09.083
DOI:	10.1016/j.eswa.2005.09.083
Appears in Collections:	[資訊管理學系] 期刊論文

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