View source: R/enrichment_funks.R
| enrichedAnnotations | R Documentation |
annos.2.test that its annotation-frequency in the case.genes
is explicable with the background distribution observed in
universe.annos. The default alternative hypothesis is that the actual
case frequency is 'greater'.Tests the NULL Hypothesis for each gene (function) annotation in
annos.2.test that its annotation-frequency in the case.genes
is explicable with the background distribution observed in
universe.annos. The default alternative hypothesis is that the actual
case frequency is 'greater'.
enrichedAnnotations(case.genes, universe.annos = all.ipr,
univ.gene.col = 1, univ.anno.col = 2,
annos.2.test = unique(universe.annos[which(universe.annos[,
univ.gene.col] %in% case.genes), univ.anno.col]),
alt.hypothesis = "greater", p.adjust.method = "BY")
case.genes |
A character vector of gene identifiers defining the gene group of interest for which to infer enriched annotations. |
universe.annos |
A data.frame with at least two columns: 1. of gene
identifiers and another of (function) annotations. Default is this package's
data |
univ.gene.col |
The column of |
univ.anno.col |
The column of |
annos.2.test |
The annotations for which to test enrichment. Default is
all annotations found for the |
alt.hypothesis |
The alternative hypotheses to test. Default is that the case frequencies are significantly greater than the one observed in the 'universe'. |
p.adjust.method |
The method used to adjust P-Values for multiple
hypothesis testing. Default is 'BY'. See |
A numeric vector of P-Values adjusted to multiple hypothesis
testing. Names are the annos.2.test.
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