Scharl Theresa, Leisch Friedrich
Department of Biotechnology, Universität für Bodenkultur, Vienna, Austria.
Bioinformatics. 2009 Apr 15;25(8):1089-90. doi: 10.1093/bioinformatics/btp099. Epub 2009 Feb 18.
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.
自微阵列研究早期以来,聚类分析在基因表达数据分析中就发挥着重要作用,并且经常用于寻找具有共同表达模式的基因群组。为了使聚类分析对用户有所帮助,聚类结果的可视化至关重要。在此,我们展示了用于基因簇交互式探索的新R包gcExplorer。gcExplorer有助于解释聚类结果,并允许研究有关簇的广泛信息。