On the gene group problem

Sheng-Lung Peng, Yu-Lian Tang, Guanling Lee, Wei-Chun Liao
{"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}
引用次数: 0

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.
关于基因群问题
基因网络分析是微阵列分析中最困难的工作之一。由于存在大量的基因连接关系,分析基因网络对于理解基因组的进化和功能是非常复杂的。基因组是保守基因簇的一个模型。然而,它是在线性结构的基因组上定义的。本文通过将基因网络转化为图,提出了基因群的概念,即按功能划分的封闭基因。提出了一项实验研究。我们认为这种图表方法可能对寻找封闭基因有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信