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