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DEGraph (version 1.24.0)

Two-sample tests on a graph

Description

DEGraph implements recent hypothesis testing methods which directly assess whether a particular gene network is differentially expressed between two conditions. This is to be contrasted with the more classical two-step approaches which first test individual genes, then test gene sets for enrichment in differentially expressed genes. These recent methods take into account the topology of the network to yield more powerful detection procedures. DEGraph provides methods to easily test all KEGG pathways for differential expression on any gene expression data set and tools to visualize the results.

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Version

Version

1.24.0

License

GPL-3

Maintainer

Laurent Jacob

Last Published

February 15th, 2017

Functions in DEGraph (1.24.0)

twoSampleFromGraph

Given a basis (typically the eigenvectors of a graph Laplacian), builds two multivariate normal samples with mean shift located in the first elements of the basis
annLoi2008

Annotation data used in the DEGraph package vignette
grListKEGG

KEGG networks used in the DEGraph package vignette
laplacianFromA

Calculates the Laplacian associated to an adjacency matrix
BS.test

Performs the test of Bai and Saranadasa (1996)
testOneConnectedComponent

Applies a series of two-sample tests to a connected graph using various statistics
classLoi2008

Tamoxifen treatment resistance status data used in the DEGraph package vignette
randomWAMGraph

Generates a random graph
writeAdjacencyMatrix2KGML

Writes an adjacency matrix into an XML file
plotValuedGraph

Plots a graph with nodes colored according to a quantitative variable
getConnectedComponentList

Given a graph, returns a list of its connected components (which are also graph objects), ordered by decreasing number of nodes
getKEGGPathways

Builds a graph for each of the KEGG pathways
getSignedGraph

Given a graph, builds a signed version of the adjacency matrix taking into account the type of interaction (e.g., activation or inhibition)
AN.test

Performs the Adaptive Neyman test of Fan and Lin (1998)
exprLoi2008

Gene expression data used in the DEGraph package vignette
graph.T2.test

Performs the Hotelling T2 test in Fourier space
hyper.test

Performs an hypergeometric test of enrichment of a set of hypotheses in significant elements
testOneGraph

Applies a serie of two-sample tests to each connected component of a graph using various statistics