Functional modules with disease discrimination abilities for various cancers  

作　　者：YAO Chen ZHANG Min ZOU JinFeng LI HongDong WANG Dong ZHU Jing GUO Zheng 

机构地区：[1]Bioinformatlcs Centre, School of Life Science, University of Electronic Science and Technology of China, Chengdu 610054, China [2]College of Bioinformatics, Harbin Medical University, Harbin 150086, China

出　　处：《Science China(Life Sciences)》2011年第2期189-193,共5页中国科学（生命科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 30170515,30370388 and 30970668)

摘　　要：Selecting differentially expressed genes(DEGs) is one of the most important tasks in microarray applications for studying multi-factor diseases including cancers.However,the small samples typically used in current microarray studies may only partially reflect the widely altered gene expressions in complex diseases,which would introduce low reproducibility of gene lists selected by statistical methods.Here,by analyzing seven cancer datasets,we showed that,in each cancer,a wide range of functional modules have altered gene expressions and thus have high disease classification abilities.The results also showed that seven modules are shared across diverse cancers,suggesting hints about the common mechanisms of cancers.Therefore,instead of relying on a few individual genes whose selection is hardly reproducible in current microarray experiments,we may use functional modules as functional signatures to study core mechanisms of cancers and build robust diagnostic classifiers.Selecting differentially expressed genes（DEGs） is one of the most important tasks in microarray applications for studying multi-factor diseases including cancers.However,the small samples typically used in current microarray studies may only partially reflect the widely altered gene expressions in complex diseases,which would introduce low reproducibility of gene lists selected by statistical methods.Here,by analyzing seven cancer datasets,we showed that,in each cancer,a wide range of functional modules have altered gene expressions and thus have high disease classification abilities.The results also showed that seven modules are shared across diverse cancers,suggesting hints about the common mechanisms of cancers.Therefore,instead of relying on a few individual genes whose selection is hardly reproducible in current microarray experiments,we may use functional modules as functional signatures to study core mechanisms of cancers and build robust diagnostic classifiers.

关 键 词：differentially expressed gene functional module classification diverse cancers 

分 类 号：X503.1[环境科学与工程—环境工程] TU985[建筑科学—城市规划与设计]