{"title":"关于基因群问题","authors":"Sheng-Lung Peng, Yu-Lian Tang, Guanling Lee, Wei-Chun Liao","doi":"10.1109/ISBB.2014.6820910","DOIUrl":null,"url":null,"abstract":"The analysis of gene networks is one of the hardest works in microarray analysis. Due to a lot of gene connection relations, it is complicated to analyze gene networks for understanding the evolution and functions of genomes. Gene team is a model for conserved gene clusters. However, it is defined on a genome of linear structure. In this paper, by transforming a gene network to a graph, we propose the concept of a gene group, i.e., closed genes according to their functions. An experimental study is proposed. We think this graph approach may be useful for finding closed genes.","PeriodicalId":265886,"journal":{"name":"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the gene group problem\",\"authors\":\"Sheng-Lung Peng, Yu-Lian Tang, Guanling Lee, Wei-Chun Liao\",\"doi\":\"10.1109/ISBB.2014.6820910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of gene networks is one of the hardest works in microarray analysis. Due to a lot of gene connection relations, it is complicated to analyze gene networks for understanding the evolution and functions of genomes. Gene team is a model for conserved gene clusters. However, it is defined on a genome of linear structure. In this paper, by transforming a gene network to a graph, we propose the concept of a gene group, i.e., closed genes according to their functions. An experimental study is proposed. We think this graph approach may be useful for finding closed genes.\",\"PeriodicalId\":265886,\"journal\":{\"name\":\"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISBB.2014.6820910\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISBB.2014.6820910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The analysis of gene networks is one of the hardest works in microarray analysis. Due to a lot of gene connection relations, it is complicated to analyze gene networks for understanding the evolution and functions of genomes. Gene team is a model for conserved gene clusters. However, it is defined on a genome of linear structure. In this paper, by transforming a gene network to a graph, we propose the concept of a gene group, i.e., closed genes according to their functions. An experimental study is proposed. We think this graph approach may be useful for finding closed genes.
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