{"title":"路径分析的关联方法","authors":"C. Ashby, Xiuzhen Huang, J. Jenness, Joseph Kerby","doi":"10.1109/IMSCCS.2008.27","DOIUrl":null,"url":null,"abstract":"The relationship between interacting proteins can be represented using graphical network models. Comparison of models of similar protein networks can reveal important information about conserved protein interactions. The problem of determining conserved pathways between protein interaction networks are challenging and for large protein interaction networks are very computationally intensive. This paper developed and implemented a new relational approach for pathway analysis between protein interaction networks. Compared with the current known approaches, this relational approach is very computationally efficient.","PeriodicalId":122953,"journal":{"name":"2008 International Multi-symposiums on Computer and Computational Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Relational Approach for Pathway Analysis\",\"authors\":\"C. Ashby, Xiuzhen Huang, J. Jenness, Joseph Kerby\",\"doi\":\"10.1109/IMSCCS.2008.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The relationship between interacting proteins can be represented using graphical network models. Comparison of models of similar protein networks can reveal important information about conserved protein interactions. The problem of determining conserved pathways between protein interaction networks are challenging and for large protein interaction networks are very computationally intensive. This paper developed and implemented a new relational approach for pathway analysis between protein interaction networks. Compared with the current known approaches, this relational approach is very computationally efficient.\",\"PeriodicalId\":122953,\"journal\":{\"name\":\"2008 International Multi-symposiums on Computer and Computational Sciences\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Multi-symposiums on Computer and Computational Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMSCCS.2008.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Multi-symposiums on Computer and Computational Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMSCCS.2008.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The relationship between interacting proteins can be represented using graphical network models. Comparison of models of similar protein networks can reveal important information about conserved protein interactions. The problem of determining conserved pathways between protein interaction networks are challenging and for large protein interaction networks are very computationally intensive. This paper developed and implemented a new relational approach for pathway analysis between protein interaction networks. Compared with the current known approaches, this relational approach is very computationally efficient.