VISDA specifications


Unique identifier OMICS_26703
Alternative names VIsual Statistical Data Analyzer, caBIG™ VISDA
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Java
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Maintained Yes



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  • person_outline Yue Wang <>
  • person_outline Yitan Zhu <>
  • person_outline Huai Li <>
  • person_outline David Miller <>
  • person_outline Zuyi Wang <>

Additional information

A Matlab code implementing a full functional version is also available at

Publications for VIsual Statistical Data Analyzer

VISDA institution(s)
Department of Electrical and Computer Engineering, Virginia Polytechnic and State University, Arlington, VA, USA; Bioinformatics Unit, RRB, National Institute on Aging, NIH, Baltimore, MD, USA; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA, USA; Research Center for Genetic Medicine, Children's National Medical Center, Washington, DC, USA; Department of Oncology, Physiology & Biophysics and Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
VISDA funding source(s)
Supported by the National Institutes of Health under Grants CA109872, NS29525, CA096483, EB000830 and caBIG™.

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