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topologyGSA (version 1.4.5)

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).

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Version

Install

install.packages('topologyGSA')

Monthly Downloads

606

Version

1.4.5

License

GPL-3

Maintainer

Gabriele Sales

Last Published

July 9th, 2015

Functions in topologyGSA (1.4.5)

clique.var.test

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

Comparison of all the cliques of a pathway.
y2

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

Testing the concentration matrices of a pathway.
pathway.mean.test

Testing the means of a pathway.
render.significant.cliques

Graphical display of the significant cliques
print

Print results of statistical tests.
y1

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

DAG representation of the B cell receptor signaling pathway