GlobalAnalysis | R Documentation |
Functions to perform global gene set analyses, as used in the globalStat
parameter of gsAnalysis
.
global.overrepresentation(dat,
geneSet,
coreSet)
global.ancova(dat,
geneSet,
labs,
...)
global.test(dat,
geneSet,
labs,
...)
dat |
A numeric matrix of gene expression values for all analyzed genes. Here, each row corresponds to one gene, and each column corresponds to one sample. The rows must be named with the gene names used in the gene sets. |
geneSet |
A gene set in form of a vector of gene names corresponding to the row names of |
coreSet |
A gene set of interest resulting from an analysis of |
labs |
A vector of class labels for the samples in |
... |
Further parameters for |
Wrapper functions for global gene set analyses.
global.overrepresentation
: This function performs an overrepresentation analysis by rating the overlap of geneSet
and coreSet
with respect to the set of all genes using Fisher's exact test.
global.ancova
: This function performs a global gene set enrichment analysis using the global ANCOVA method by Hummel et al. It wraps the GlobalAncova
function in the GlobalAncova package.
global.test
: This function performs a global gene set enrichment analysis using a global test by Goeman et al. It wraps the gt
function in the globaltest package.
A list containing the following items:
pValue |
The p-value for the significance of |
intersectGeneSetCoreSet |
This element is only returned in case of an overrepresentation analysis and consists of a vector of genes included in both sets ( |
res.all |
The full result object returned by |
Hummel, M., Meister, R., Mansmann, U. (2008) GlobalANCOVA: exploration and assessment of gene group effects. Bioinformatics, 24(1), 78–85.
Goeman, J. J., van de Geer, S. A., de Kort, F., van Houwelingen, H. C. (2004) A global test for groups of genes: testing association with a clinical outcome. Bioinformatics, 20(1), 93–99.
geneSetAnalysis
, gsAnalysis
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