getOptMods: Obtain the Module Information from Consensus-Based...
In zhouLabNCSU/C3NA: Correlation and Consensus-Based Cross-Taxonomy Network Analysis (C3NA)
View source: R/moduleRelated.r
getOptMods R Documentation
Obtain the Module Information from Consensus-Based Investigation
Description
Extract the module information based on the consensus results.
Usage
getOptMods(C3NAObj = C3NAObj, selectedPatterns = NA, nModules = NA)
Arguments
C3NAObj
(Required) The C3NAObj with a single phenotype and after the initiateC3NA function.
selectedPatterns
(Required) The selected unique patterns identified in the shiny application.
nModules
(Required) The optimal number of clusters identified by the shiny application.
zhouLabNCSU/C3NA documentation built on Oct. 10, 2022, 4:43 a.m.
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View source: R/moduleRelated.r
| getOptMods | R Documentation |
Obtain the Module Information from Consensus-Based Investigation
Description
Extract the module information based on the consensus results.
Usage
getOptMods(C3NAObj = C3NAObj, selectedPatterns = NA, nModules = NA)
Arguments
C3NAObj |
(Required) The C3NAObj with a single phenotype and after the initiateC3NA function. |
selectedPatterns |
(Required) The selected unique patterns identified in the shiny application. |
nModules |
(Required) The optimal number of clusters identified by the shiny application. |
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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