VISDA: an open-source caBIG™ analytical tool for data clustering and beyond

Summary: VISDA (Visual Statistical Data Analyzer) is a caBIG TM analytical tool for cluster modeling, visualization and discovery that has met silver-level compatibility under the caBIG initiative. Being statistically principled and visually interfaced, VISDA exploits both hierarchical statistics modeling and human gift for pattern recognition to allow a progressive yet interactive discovery of hidden clusters within high dimensional and complex biomedical datasets. The distinctive features of VISDA are particularly useful for users across the cancer research and broader research communities to analyze complex biological data. Availability: http://gforge.nci.nih.gov/projects/visda/ Contact: yuewang@vt.edu Supplementary information: Supplementary data are available at Bioinformatics online.