Vimida is a Java-applet for Visualization of Microarray Data using linear and non-linear principal components analysis
(PCA). It allows two-dimensional visualization of a data file with vectorial data (tab- or space- delimited table
with a simple header). The basic features of the applet are the following:
- Linear Principal Components Analysis
- Specifying classes of datapoints with different colors
- Non-linear principal manifold analysis (elmap algorithm)
- Point density estimation and visualization (visual inspection of clusters)
- Visualization of class densities, relative densities
- Visualization of functions defined in the data space (a field value, an average of several field values)
- Possibility to automatically transpose the data table and visualize it
- Feedback to other programs via HTTP GET interface
- Possibility to deal with a remote data file
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