gcExplorer: interactive exploration of gene clusters | Zendy

Theresa Scharl | Zendy; Friedrich Leisch | Zendy

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gcExplorer: interactive exploration of gene clusters

Author(s) -

Theresa Scharl,

Friedrich Leisch

Publication year - 2009

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/btp099

Subject(s) - cluster (spacecraft) , computer science , visualization , r package , gene cluster , cluster analysis , computational biology , data mining , microarray analysis techniques , interpretation (philosophy) , expression (computer science) , gene , gene expression , biology , artificial intelligence , genetics , programming language

Cluster analysis plays an important role in the analysis of gene expression data since the early beginning of microarray studies and is routinely used to find groups of genes with common expression pattern. In order to make cluster analysis helpful for users, visualization of cluster solutions is of utmost importance. Here, we present the new R package gcExplorer for the interactive exploration of gene clusters. gcExplorer facilitates the interpretation of cluster results and allows to investigate extensive information about clusters.

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