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

Bioinformatics. 2007 Aug 1;23(15):2024-7. doi: 10.1093/bioinformatics/btm290. Epub 2007 May 31.

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/

Publication types

  • Evaluation Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Cluster Analysis*
  • Databases, Factual*
  • Gene Expression Profiling / methods*
  • Information Storage and Retrieval / methods
  • Oligonucleotide Array Sequence Analysis / methods*
  • Pattern Recognition, Automated / methods*
  • Software*