getNormBeta: Computes Beta values from normalized signals
In funtooNorm: Normalization Procedure for Infinium HumanMethylation450 BeadChip Kit
Description
Usage
Arguments
Value
Methods (by class)
Examples
Description
Computes Beta values from normalized signals
Usage
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getNormBeta(object, offset = 100)
## S4 method for signature 'SampleSet'
getNormBeta(object, offset = 100)
Arguments
object
of type SampleSet
offset
default is 100 as Illumina standard
Value
a matrix containing beta after normalization value for each CpG
position and each samples
Methods (by class)
-
SampleSet: Computes Beta values from normalized signals
Examples
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require(minfiData)
pData(RGsetEx)$cell_type <- rep(c("type1","type2"),3)
mySampleSet=fromRGChannelSet(RGsetEx)
b=getNormBeta(funtooNorm(mySampleSet))
funtooNorm documentation built on Nov. 8, 2020, 8:04 p.m.
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Description Usage Arguments Value Methods (by class) Examples
Description
Computes Beta values from normalized signals
Usage
1 2 3 4 | getNormBeta(object, offset = 100)
## S4 method for signature 'SampleSet'
getNormBeta(object, offset = 100)
|
Arguments
object |
of type SampleSet |
offset |
default is 100 as Illumina standard |
Value
a matrix containing beta after normalization value for each CpG position and each samples
Methods (by class)
-
SampleSet: Computes Beta values from normalized signals
Examples
1 2 3 4 | require(minfiData)
pData(RGsetEx)$cell_type <- rep(c("type1","type2"),3)
mySampleSet=fromRGChannelSet(RGsetEx)
b=getNormBeta(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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