| Literature DB >> 19225024 |
Theresa Scharl1, Friedrich Leisch.
Abstract
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.Mesh:
Year: 2009 PMID: 19225024 DOI: 10.1093/bioinformatics/btp099
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937