Model-based methods for identifying periodically expressed genes based on time course microarray gene expression data | Zendy

Y. Luan | Zendy; H. LI | Zendy

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Model-based methods for identifying periodically expressed genes based on time course microarray gene expression data

Author(s) -

Y. Luan,

H. LI

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg413

Subject(s) - gene , biology , false discovery rate , computational biology , microarray analysis techniques , microarray , gene expression profiling , cyclin dependent kinase 1 , gene expression , genetics , cell cycle

The expressions of many genes associated with certain periodic biological and cell cycle processes such as circadian rhythm regulation are known to be rhythmic. Identification of the genes whose time course expressions are synchronized to certain periodic biological process may help to elucidate the molecular basis of many diseases, and these gene products may in turn represent drug targets relevant to those diseases.

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