Description
Implementation of different statistical tools for the
description and analysis of gene expression data based on the
concept of data depth, namely, the scale curves for
visualizing the dispersion of one or various groups of samples
(e.g. types of tumors), a rank test to decide whether two groups
of samples come from a single distribution and two methods of
supervised classification techniques, the DS and TAD methods.
All these techniques are based on the Modified Band Depth, which
is a recent notion of depth with a low computational cost, what
renders it very appropriate for high dimensional data such as
gene expression data.