topologyGSA: Gene Set Analysis Exploiting Pathway Topology

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) <doi:10.1186/1752-0509年4月12日1>.

Version: 1.5.0
Imports: graph, gRbase (≥ 2.0), qpgraph, fields, methods, igraph
Suggests: Rgraphviz
Published: 2023年09月25日
Author: Sofia Massa, Gabriele Sales
Maintainer: Gabriele Sales <gabriele.sales at unipd.it>
License: GPL-3
NeedsCompilation: no
In views: Omics
CRAN checks: topologyGSA results

Documentation:

Reference manual: topologyGSA.html , topologyGSA.pdf

Downloads:

Windows binaries: r-devel: topologyGSA_1.5.0.zip, r-release: topologyGSA_1.5.0.zip, r-oldrel: topologyGSA_1.5.0.zip
macOS binaries: r-release (arm64): topologyGSA_1.5.0.tgz, r-oldrel (arm64): topologyGSA_1.5.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): topologyGSA_1.5.0.tgz

Reverse dependencies:

Reverse suggests: graphite

Linking:

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