pORACalc: Over-representation Analysis
In BLMA: BLMA: A package for bi-level meta-analysis
Description
Usage
Arguments
Value
View source: R/IntegrativeAnalysis.R
View source: R/PathwayAnalysis.R
Description
Calculate p-value for over-representation Analysis
Usage
1
pORACalc(geneSet, DEGenes, measuredGenes, minSize = 0)
Arguments
geneSet
a vector of gene names belong to the geneset
DEGenes
a vector of differential expressed genes
measuredGenes
a vector of all genes in the analysis
minSize
the minimum number of DE genes in the geneSet
Value
p-value
BLMA documentation built on Nov. 8, 2020, 8:15 p.m.
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Description Usage Arguments Value
View source: R/IntegrativeAnalysis.R View source: R/PathwayAnalysis.R
Description
Calculate p-value for over-representation Analysis
Usage
1 | pORACalc(geneSet, DEGenes, measuredGenes, minSize = 0)
|
Arguments
geneSet |
a vector of gene names belong to the geneset |
DEGenes |
a vector of differential expressed genes |
measuredGenes |
a vector of all genes in the analysis |
minSize |
the minimum number of DE genes in the geneSet |
Value
p-value
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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