computeNormCounts: Compute normalized counts
In GabrielHoffman/dreamlet: Scalable differential expression analysis of single cell transcriptomics datasets with complex study designs
View source: R/computeLogCPM.R
computeNormCounts R Documentation
Compute normalized counts
Description
Compute normalized counts as counts per million
Usage
computeNormCounts(sce)
Arguments
sce
SingleCellExperiment with counts stored as counts(sce)
Details
This function gives same result as edgeR::cpm(counts(sce), log=FALSE)
Value
matrix of CPM values
See Also
also edgeR::cpm()
Examples
library(muscat)
library(SingleCellExperiment)
data(example_sce)
normcounts(example_sce) <- computeNormCounts(example_sce)
GabrielHoffman/dreamlet documentation built on May 20, 2024, 2:05 p.m.
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View source: R/computeLogCPM.R
| computeNormCounts | R Documentation |
Compute normalized counts
Description
Compute normalized counts as counts per million
Usage
computeNormCounts(sce)
Arguments
sce |
|
Details
This function gives same result as edgeR::cpm(counts(sce), log=FALSE)
Value
matrix of CPM values
See Also
also edgeR::cpm()
Examples
library(muscat)
library(SingleCellExperiment)
data(example_sce)
normcounts(example_sce) <- computeNormCounts(example_sce)
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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