A Network Partition Algorithm for Mining Gene Functional Modules of Colon Cancer from DNA Microarray Data - 文章详情页

作者：

Ruan, X.-G. (Ruan, X.-G..) | Wang, J.-L. (Wang, J.-L..) | Li, J.-G. (Li, J.-G..)

收录：

Scopus

摘要：

Computational　analysis　is　essential　for　transforming　the　masses　of　microarray　data　into　a　mechanistic　understanding　of　cancer.　Here　we　present　a　method　for　finding　gene　functional　modules　of　cancer　from　microarray　data　and　have　applied　it　to　colon　cancer.　First,　a　colon　cancer　gene　network　and　a　normal　colon　tissue　gene　network　were　constructed　using　correlations　between　the　genes.　Then　the　modules　that　tended　to　have　a　homogeneous　functional　composition　were　identified　by　splitting　up　the　network.　Analysis　of　both　networks　revealed　that　they　are　scale-free.　Comparison　of　the　gene　functional　modules　for　colon　cancer　and　normal　tissues　showed　that　the　modules＇　functions　changed　with　their　structures.　©　2006　Beijing　Genomics　Institute.

关键词：

colon cancer; DNA microarray data; gene functional module; GN algorithm

作者机构：

[ 1 ] [Ruan, X.-G.]Institute of Artificial Intelligence and Robotics, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
[ 2 ] [Wang, J.-L.]Institute of Artificial Intelligence and Robotics, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China
[ 3 ] [Li, J.-G.]Institute of Artificial Intelligence and Robotics, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China

通讯作者信息：

[Wang, J.-L.]Institute of Artificial Intelligence and Robotics, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100022, China

电子邮件地址：

wjinlian1999@emails.bjut.edu.cn

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