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clipper (version 1.10.0)

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

1.10.0

License

AGPL-3

Maintainer

Paolo Martini

Last Published

February 15th, 2017

Functions in clipper (1.10.0)

easyLook

Summarize clipper output.
getGraphEntryGenes

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

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

Paired mean test for cliques.
cliqueVarianceTest

Variance test for cliques.
cliqueMeanTest

Mean test for cliques.
cliqueMixedTest

Mean test for cliques.
pathwayTest

Whole pathway test using qpipf.
plotInCytoscape

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

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

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

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

Generate clique names from their own elements.
easyClip

Easy clip analysis.
deleteEdge

Remove an edge from graphNel object.