Gmic_viz: Visualized network
In Rvirgenslane/GmicR: Combines WGCNA and xCell readouts with bayesian network learrning to generate a Gene-Module Immune-Cell network (GMIC)
Description
Usage
Arguments
Value
Examples
Description
Visualized network
Usage
1
Arguments
Auto_WGCNA_Output
R object with GMIC bayesian network
Filter_unconnected_ME
a logical value. If TRUE, the default,
unconnected modules will be removed from the final network. If FALSE,
all modules will be shown.
Value
a shiny object for network visualization.
Examples
1
2
3
4
5
GMIC_Final_dir<-system.file("extdata", "GMIC_Final.Rdata",
package = "GmicR", mustWork = TRUE)
load(GMIC_Final_dir)
if(interactive()){
Gmic_viz(GMIC_Final)}
Rvirgenslane/GmicR documentation built on Feb. 5, 2020, 4:08 a.m.
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Description Usage Arguments Value Examples
Description
Visualized network
Usage
1 |
Arguments
Auto_WGCNA_Output |
R object with GMIC bayesian network |
Filter_unconnected_ME |
a logical value. If TRUE, the default, unconnected modules will be removed from the final network. If FALSE, all modules will be shown. |
Value
a shiny object for network visualization.
Examples
1 2 3 4 5 | GMIC_Final_dir<-system.file("extdata", "GMIC_Final.Rdata",
package = "GmicR", mustWork = TRUE)
load(GMIC_Final_dir)
if(interactive()){
Gmic_viz(GMIC_Final)}
|
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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