getNormM: Computes M values,log2(Meth/Unmeth), from normalized signals
In GreenwoodLab/funtooNorm: Normalization Procedure for Infinium HumanMethylation450 BeadChip Kit
getNormM R Documentation
Computes M values,log2(Meth/Unmeth), from normalized signals
Description
Computes M values,log2(Meth/Unmeth), from normalized signals
Usage
getNormM(object)
## S4 method for signature 'SampleSet'
getNormM(object)
Arguments
object
An object of class SampleSet
Value
a matrix containing M values, log2(Meth/Unmeth), after normalization
Methods (by class)
-
SampleSet: Computes M values, log2(Meth/Unmeth),
from normalized signals
Examples
require(minfiData)
pData(RGsetEx)$cell_type <- rep(c("type1","type2"),3)
mySampleSet=fromRGChannelSet(RGsetEx)
m=getNormM(funtooNorm(mySampleSet))
GreenwoodLab/funtooNorm documentation built on April 5, 2022, 3:22 p.m.
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| getNormM | R Documentation |
Computes M values,log2(Meth/Unmeth), from normalized signals
Description
Computes M values,log2(Meth/Unmeth), from normalized signals
Usage
getNormM(object) ## S4 method for signature 'SampleSet' getNormM(object)
Arguments
object |
An object of class SampleSet |
Value
a matrix containing M values, log2(Meth/Unmeth), after normalization
Methods (by class)
-
SampleSet: Computes M values, log2(Meth/Unmeth), from normalized signals
Examples
require(minfiData)
pData(RGsetEx)$cell_type <- rep(c("type1","type2"),3)
mySampleSet=fromRGChannelSet(RGsetEx)
m=getNormM(funtooNorm(mySampleSet))
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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