wrenchNorm: Computes normalization factors using wrench instead of...
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
Description
Usage
Arguments
Value
See Also
Examples
Description
Calculates normalization factors using method published by
M. Sentil Kumar et al. (2018) to compute normalization factors which
considers compositional bias introduced by sequencers.
Usage
1
wrenchNorm(obj, condition)
Arguments
obj
an MRexperiment object
condition
case control label that wrench uses to calculate
normalization factors
Value
an MRexperiment object with updated normalization factors.
Accessible by normFactors.
See Also
Examples
1
2
3
data(mouseData)
mouseData <- wrenchNorm(mouseData, condition = mouseData$diet)
head(normFactors(mouseData))
metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value See Also Examples
Description
Calculates normalization factors using method published by M. Sentil Kumar et al. (2018) to compute normalization factors which considers compositional bias introduced by sequencers.
Usage
1 | wrenchNorm(obj, condition)
|
Arguments
obj |
an MRexperiment object |
condition |
case control label that wrench uses to calculate normalization factors |
Value
an MRexperiment object with updated normalization factors.
Accessible by normFactors.
See Also
Examples
1 2 3 | data(mouseData)
mouseData <- wrenchNorm(mouseData, condition = mouseData$diet)
head(normFactors(mouseData))
|
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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