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題名 Mining protein–protein interaction information on the internet
作者 李有仁
Lee, Hsi-Chieh ; Huang, Szu-Wei ; Li, Eldon Y.
關鍵詞 Protein–protein interactions; Rule-based system; Data mining; Information retrieval; Keypage-based search
日期 2006-01
上傳時間 17-Jan-2009 15:58:50 (UTC+8)
摘要 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.
關聯 Expert Systems with Applications, 30(1), 142-148
資料來源 http://dx.doi.org/10.1016/j.eswa.2005.09.083
資料類型 article
DOI http://dx.doi.org/10.1016/j.eswa.2005.09.083
dc.creator (作者) 李有仁zh_TW
dc.creator (作者) Lee, Hsi-Chieh ; Huang, Szu-Wei ; Li, Eldon Y.-
dc.date (日期) 2006-01en_US
dc.date.accessioned 17-Jan-2009 15:58:50 (UTC+8)-
dc.date.available 17-Jan-2009 15:58:50 (UTC+8)-
dc.date.issued (上傳時間) 17-Jan-2009 15:58:50 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/26976-
dc.description.abstract (摘要) 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.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Expert Systems with Applications, 30(1), 142-148en_US
dc.source.uri (資料來源) http://dx.doi.org/10.1016/j.eswa.2005.09.083-
dc.subject (關鍵詞) Protein–protein interactions; Rule-based system; Data mining; Information retrieval; Keypage-based search-
dc.title (題名) Mining protein–protein interaction information on the interneten_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2005.09.083en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.eswa.2005.09.083en_US