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

Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Bioinformatics (Impact Factor: 4.62). 09/2007; 23(15):2024-7. DOI: 10.1093/bioinformatics/btm290
Source: PubMed

ABSTRACT VISDA (Visual Statistical Data Analyzer) is a caBIG 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:


Available from: Yitan Zhu, Jun 01, 2015