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