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clipper (version 1.12.0)

Gene Set Analysis Exploiting Pathway Topology

Description

Implements topological gene set analysis using a two-step empirical approach. It exploits graph decomposition theory to create a junction tree and reconstruct the most relevant signal path. In the first step clipper selects significant pathways according to statistical tests on the means and the concentration matrices of the graphs derived from pathway topologies. Then, it "clips" the whole pathway identifying the signal paths having the greatest association with a specific phenotype.

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Version

Version

1.12.0

License

AGPL-3

Maintainer

Last Published

February 15th, 2017

Functions in clipper (1.12.0)

cliqueMeanTest

Mean test for cliques.
clipper

Dissect the pathway to find the path with the greatest association with phenotype.
plotInCytoscape

Plot a pathway graph in Cytoscape highlighting the relevant path.
cliqueVarianceTest

Variance test for cliques.
easyLook

Summarize clipper output.
deleteEdge

Remove an edge from graphNel object.
cliquePairedTest

Paired mean test for cliques.
getJunctionTreePaths

Extract the shortest paths along the junction tree of the graph.
cliqueMixedTest

Mean test for cliques.
prunePaths

Summarize the paths obtained by clipper according to their similarity.
pathwayTest

Whole pathway test using qpipf.
easyClip

Easy clip analysis.
nameCliques

Generate clique names from their own elements.
clipperAllRoots

Dissect the pathway to find the path with the greatest association with phenotype.
getGraphEntryGenes

Extract all the possible entry point (genes with no entering edges) from graph.