URA: URA Upstream Regulator Analysis
In ELELAB/MoonlightR: Identify oncogenes and tumor suppressor genes from omics data
URA R Documentation
URA Upstream Regulator Analysis
Description
This function carries out the upstream regulator analysis
Usage
URA(dataGRN, DEGsmatrix, BPname, nCores = 1)
Arguments
dataGRN
output GNR function
DEGsmatrix
output DPA function
BPname
biological processes
nCores
number of cores to use
Value
an adjacent matrix
Examples
dataDEGs <- DEGsmatrix
dataGRN <- GRN(TFs = rownames(dataDEGs)[1:100],
DEGsmatrix = dataDEGs,
DiffGenes = TRUE,
normCounts = dataFilt)
dataURA <-URA(dataGRN = dataGRN,
DEGsmatrix = dataDEGs,
BPname = c("apoptosis",
"proliferation of cells"))
ELELAB/MoonlightR documentation built on May 16, 2024, 4:21 p.m.
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| URA | R Documentation |
URA Upstream Regulator Analysis
Description
This function carries out the upstream regulator analysis
Usage
URA(dataGRN, DEGsmatrix, BPname, nCores = 1)
Arguments
dataGRN |
output GNR function |
DEGsmatrix |
output DPA function |
BPname |
biological processes |
nCores |
number of cores to use |
Value
an adjacent matrix
Examples
dataDEGs <- DEGsmatrix
dataGRN <- GRN(TFs = rownames(dataDEGs)[1:100],
DEGsmatrix = dataDEGs,
DiffGenes = TRUE,
normCounts = dataFilt)
dataURA <-URA(dataGRN = dataGRN,
DEGsmatrix = dataDEGs,
BPname = c("apoptosis",
"proliferation of cells"))
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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