NormalizeRPM: RPM normalization
In beyergroup/ADImpute: Adaptive Dropout Imputer (ADImpute)
Description
Usage
Arguments
Value
Examples
Description
NormalizeRPM performs RPM normalization, with possibility
to log the result
Usage
1
2
Arguments
data
matrix; raw data (genes as rows and samples as columns)
sce
SingleCellExperiment; raw data
log
logical; log RPMs?
scale
integer; scale factor to divide RPMs by
pseudo.count
numeric; if log = TRUE, value to add to RPMs in
order to avoid taking log(0)
Value
matrix; library size normalized data
Examples
1
demo <- NormalizeRPM(ADImpute::demo_data)
beyergroup/ADImpute documentation built on Dec. 19, 2021, 8:48 a.m.
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Description Usage Arguments Value Examples
Description
NormalizeRPM performs RPM normalization, with possibility
to log the result
Usage
1 2 |
Arguments
data |
matrix; raw data (genes as rows and samples as columns) |
sce |
SingleCellExperiment; raw data |
log |
logical; log RPMs? |
scale |
integer; scale factor to divide RPMs by |
pseudo.count |
numeric; if |
Value
matrix; library size normalized data
Examples
1 | demo <- NormalizeRPM(ADImpute::demo_data)
|
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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