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VISDA: an open-source caBIG analytical tool for data clustering and beyond.
Wang, Jiajing; Li, Huai; Zhu, Yitan; Yousef, Malik; Nebozhyn, Michael; Showe, Michael; Showe, Louise; Xuan, Jianhua; Clarke, Robert; Wang, Yue.
Affiliation
  • Wang J; Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Bioinformatics ; 23(15): 2024-7, 2007 Aug 01.
Article in En | MEDLINE | ID: mdl-17540678
ABSTRACT

SUMMARY:

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:

http//gforge.nci.nih.gov/projects/visda/
Subject(s)
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Database: MEDLINE Main subject: Algorithms / Software / Pattern Recognition, Automated / Cluster Analysis / Databases, Factual / Oligonucleotide Array Sequence Analysis / Gene Expression Profiling Type of study: Evaluation_studies Language: En Year: 2007 Type: Article
Search on Google
Database: MEDLINE Main subject: Algorithms / Software / Pattern Recognition, Automated / Cluster Analysis / Databases, Factual / Oligonucleotide Array Sequence Analysis / Gene Expression Profiling Type of study: Evaluation_studies Language: En Year: 2007 Type: Article