get_int_group: Get interested phenotype groups from pData slot of the...
In jyyulab/NetBID: Network-based Bayesian Inference of Drivers, version 2
View source: R/pipeline_functions.R
get_int_group R Documentation
Get interested phenotype groups from pData slot of the ExpressionSet object.
Description
get_int_group is a function to extract interested phenotype groups from the ExpressionSet object
with 'cluster-meaningful' sample features.
Usage
get_int_group(eset)
Arguments
eset
an ExpressionSet object.
Value
Return a vector of phenotype groups which could be used for sample cluster analysis.
Examples
network.par <- list()
network.par$out.dir.DATA <- system.file('demo1','network/DATA/',package = "NetBID2")
NetBID.loadRData(network.par=network.par,step='exp-QC')
intgroups <- get_int_group(network.par$net.eset)
jyyulab/NetBID documentation built on Dec. 23, 2024, 6:34 a.m.
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View source: R/pipeline_functions.R
| get_int_group | R Documentation |
Get interested phenotype groups from pData slot of the ExpressionSet object.
Description
get_int_group is a function to extract interested phenotype groups from the ExpressionSet object
with 'cluster-meaningful' sample features.
Usage
get_int_group(eset)
Arguments
eset |
an ExpressionSet object. |
Value
Return a vector of phenotype groups which could be used for sample cluster analysis.
Examples
network.par <- list()
network.par$out.dir.DATA <- system.file('demo1','network/DATA/',package = "NetBID2")
NetBID.loadRData(network.par=network.par,step='exp-QC')
intgroups <- get_int_group(network.par$net.eset)
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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