FEA: FEA
In ELELAB/MoonlightR: Identify oncogenes and tumor suppressor genes from omics data
FEA R Documentation
FEA
Description
This function carries out the functional enrichment analysis (FEA)
Usage
FEA(BPname = NULL, DEGsmatrix)
Arguments
BPname
BPname biological process such as "proliferation of cells", "ALL" (default) if FEA should be carried out for all 101 biological processes
DEGsmatrix
DEGsmatrix output from DEA such as dataDEGs"
Value
matrix from FEA
Examples
dataDEGs <- DPA(dataFilt = dataFilt,
dataType = "Gene expression")
dataFEA <- FEA(DEGsmatrix = dataDEGs)
ELELAB/MoonlightR documentation built on Aug. 5, 2023, 1:43 p.m.
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| FEA | R Documentation |
FEA
Description
This function carries out the functional enrichment analysis (FEA)
Usage
FEA(BPname = NULL, DEGsmatrix)
Arguments
BPname |
BPname biological process such as "proliferation of cells", "ALL" (default) if FEA should be carried out for all 101 biological processes |
DEGsmatrix |
DEGsmatrix output from DEA such as dataDEGs" |
Value
matrix from FEA
Examples
dataDEGs <- DPA(dataFilt = dataFilt,
dataType = "Gene expression")
dataFEA <- FEA(DEGsmatrix = dataDEGs)
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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