VISDA 1.0 – Visualization, and Discovery for Cluster Analysis of Genomic data

VISDA 1.0

:: DESCRIPTION

VISDA (VIsual and Statistical Data Analyzer) is a software for cluster modeling, visualization, and discovery in genomic data. VISDA performs progressive, coarse-to-fine (divisive) hierarchical clustering and visualization, supported by hierarchical mixture modeling, supervised/unsupervised informative gene selection, supervised/unsupervised data visualization, and user/prior knowledge guidance, to discover hidden clusters within complex, high-dimensional genomic data.

::DEVELOPER

Computational Bioinformatics & Bio-imaging Laboratory (CBIL)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 VISDA

:: MORE INFORMATION

Citation:

caBIG VISDA: modeling, visualization, and discovery for cluster analysis of genomic data.
Zhu Y, Li H, Miller DJ, Wang Z, Xuan J, Clarke R, Hoffman EP, Wang Y.
BMC Bioinformatics. 2008 Sep 18;9:383.

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