| Intended Audiences:
Bioinformaticians and Bologists |
| Area of Focus:
Data Analysis and Statistical Tools |
Primary Workspace:
ICR |
Product Description:
VISDA (VIsual Statistical Data Analyzer) is an analytical tool for cluster modeling, visualization, and discovery. Being statistically-principled and visually-insightful, VISDA exploits human gift for pattern recognition and allows users to discover hidden clustered data structure within high dimensional and complex biomedical data sets. The unique features of VISDA include its hybrid algorithm, robust performance, and “tree of phenotype”. With global and local biomarker identification and prediction functionalities, VISDA allows users across the cancer research community to analyze their genomic/proteomic data to define new cancer subtypes based on the gene expression patterns, construct hierarchical trees of multiclass cancer phenotypic composites, or to discover the correlation between cancer statistics and risk factors. |
| Current Version Number: 1.0 |
Release Date of Current Version:
March 2006 |
Currently caGrid Enabled?
No
|
caBIG™ Compatibility Level:
Not yet determined
Learn more about compatibility levels |
| Tool Maturity Assessment:
Mature Product (Successfully Adopted) |
Installation Level:
Basic - Wizard or web browser application; minimal technical assistance required
|
Architecture Type:
Desktop Application |
System Requirements:
VISDA can run on any platform that supports Java JRE 5.0 and C compiler. The suggested RAM is 256MB or above. CPU is 1.0 GMHz or above. VISDA has been tested on Microsoft Windows XP, Linux, and Unix platforms. Users can install VISDA directly on a computer and launch the program from batch files provided in the deployment package. |
