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topologyGSA (version 1.5.0)

Gene Set Analysis Exploiting Pathway Topology

Description

Using Gaussian graphical models we propose a novel approach to perform pathway analysis using gene expression. Given the structure of a graph (a pathway) we introduce two statistical tests to compare the mean and the concentration matrices between two groups. Specifically, these tests can be performed on the graph and on its connected components (cliques). The package is based on the method described in Massa M.S., Chiogna M., Romualdi C. (2010) .

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Version

Install

install.packages('topologyGSA')

Monthly Downloads

346

Version

1.5.0

License

GPL-3

Maintainer

Last Published

September 25th, 2023

Functions in topologyGSA (1.5.0)

y2

Gene expression signatures in acute lymphocytic leukemia for BCR signaling pathway
dag_bcell

DAG representation of the B cell receptor signaling pathway
clique.var.test

Testing the concentration matrices of all cliques of a pathway.
clique.mean.test

Comparison of all the cliques of a pathway.
render.significant.cliques

Graphical display of the significant cliques
y1

Gene expression signatures in acute lymphocytic leukemia for BCR signaling pathway
pathway.var.test

Testing the concentration matrices of a pathway.
print

Print results of statistical tests.
pathway.mean.test

Testing the means of a pathway.