Short Time Series Microarray Data Analysis and Biological Annotation

被引：0
|
作者：
Soekmen, Zerrin [1 ]
Atalay, Volkan [1 ]
Atalay, Renguel Cetin [2 ]
机构：
[1] Orta Dogu Tekn Univ, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey
[2] Bilkent Univ, Molekuler Biyoloji & Genet Bolumu, Bilkent, Turkey
来源：
2008 IEEE 16TH SIGNAL PROCESSING, COMMUNICATION AND APPLICATIONS CONFERENCE, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Significant gene list is the result of microarray data analysis should be explained for the purpose of biological functions. The aim of this study is to extract the biologically related gene clusters over the short time series microarray gene data by applying unsupervised methods and automatically perform biological annotation of those clusters. In the first step of the study, short time series microarray expression data is clustered according to similar expression profiles. After that, several biological data sources are integrated to get information related with the genes in one of those clusters and new sub-clusters are created by using this unified information. As a last step, biological annotation of gene sub-clusters is performed by using information related with those sub-clusters.
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页码：533 / +
页数：2
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