CLICK and EXPANDER: a system for clustering and visualizing gene expression data | Zendy

Roded Sharan | Zendy; Adi MaronKatz | Zendy; Ron Shamir | Zendy

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CLICK and EXPANDER: a system for clustering and visualizing gene expression data

Author(s) -

Roded Sharan,

Adi MaronKatz,

Ron Shamir

Publication year - 2003

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/btg232

Subject(s) - cluster analysis , computer science , gene expression , expression (computer science) , computational biology , gene , data mining , programming language , biology , genetics , artificial intelligence

Microarrays have become a central tool in biological research. Their applications range from functional annotation to tissue classification and genetic network inference. A key step in the analysis of gene expression data is the identification of groups of genes that manifest similar expression patterns. This translates to the algorithmic problem of clustering genes based on their expression patterns.

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