title: gcExplorer: interactive exploration of gene clusters.
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.
authors.affiliation: Department of Biotechnology, Universität für Bodenkultur, Vienna, Austria. theresa.scharl@ci.tuwien.ac.at
authors.forename: Theresa
authors.initials: T
authors.lastname: Scharl
authors.forename: Friedrich
authors.initials: F
authors.lastname: Leisch
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods; D005810:Multigene Family; D012984:Software; D014584:User-Computer Interface