quantileNormalise: quantileNormalise normalise binning paramaters across all...
In flowBin: Combining multitube flow cytometry data by binning
Description
Since the binning parameters are the same across tubes,
and samples each tube is an aliquot from the same sample,
these should have the same underlying distribution.
Hence, quantile normalisation can be used to force this
to be so, removing technical variation.
Examples
1
2
3
4
data(amlsample)
normed.sample <- quantileNormalise(aml.sample)
qnorm.check <- checkQNorm(aml.sample, normed.sample, do.plot=FALSE)
show(qnorm.check)
flowBin documentation built on Nov. 8, 2020, 8:25 p.m.
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Description
Since the binning parameters are the same across tubes, and samples each tube is an aliquot from the same sample, these should have the same underlying distribution. Hence, quantile normalisation can be used to force this to be so, removing technical variation.
Examples
1 2 3 4 | data(amlsample)
normed.sample <- quantileNormalise(aml.sample)
qnorm.check <- checkQNorm(aml.sample, normed.sample, do.plot=FALSE)
show(qnorm.check)
|
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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