GO_Module_NameR: GO enrichment for module names
In GmicR: Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)
Description
Usage
Arguments
Value
Examples
View source: R/Module_annotation.R
Description
GO enrichment for module names
Usage
1
GO_Module_NameR(Auto_WGCNA_OUTPUT, cutoff_size = NULL)
Arguments
Auto_WGCNA_OUTPUT
object returned by GSEAGO_Builder function
cutoff_size
integer indication the GO size cut off. If NULL
(default) the term with the smallest Pvalue will be returned.
Value
a data.frame listing the GO name for each module. Additionally,
a table similar to the output of Query_Prep function is returned, appended
with module GO names.
Examples
1
2
3
4
GMIC_Builder_dir<-system.file("extdata", "GMIC_Builder.Rdata",
package = "GmicR", mustWork = TRUE)
load(GMIC_Builder_dir)
GMIC_Builder<-GO_Module_NameR(GMIC_Builder, cutoff_size = 100)
GmicR documentation built on Nov. 8, 2020, 7:07 p.m.
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Description Usage Arguments Value Examples
View source: R/Module_annotation.R
Description
GO enrichment for module names
Usage
1 | GO_Module_NameR(Auto_WGCNA_OUTPUT, cutoff_size = NULL)
|
Arguments
Auto_WGCNA_OUTPUT |
object returned by GSEAGO_Builder function |
cutoff_size |
integer indication the GO size cut off. If NULL (default) the term with the smallest Pvalue will be returned. |
Value
a data.frame listing the GO name for each module. Additionally, a table similar to the output of Query_Prep function is returned, appended with module GO names.
Examples
1 2 3 4 | GMIC_Builder_dir<-system.file("extdata", "GMIC_Builder.Rdata",
package = "GmicR", mustWork = TRUE)
load(GMIC_Builder_dir)
GMIC_Builder<-GO_Module_NameR(GMIC_Builder, cutoff_size = 100)
|
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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