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Contents

This session aims to provide an overview of sparse Gaussian graphical models and their used for inferring networks from transcriptomic data.

During the practical, we will illustrate these methods on two transcriptomic data set by means of R. We will also perform some small numerical experiments to understand the notion of partial correlation and what those GGM represent from the statistical point of view.

Documents

Technical point

R version and Packages

You need a recent R version installed with the following packages (including their dependencies)

A couple of R functions