countsToTmm: Normalize counts with TMM
In martingarridorc/biokit: Toolkit for the automatic analysis of omics data
Description
Usage
Arguments
Value
View source: R/tmm_normalization.R
Description
Normalizes a raw counts matrix into log transformed counts per millions using
the edgeR 'Trimmed Mean of M-Values' (TMM) normalization method. For more information
please refer to the edgeR package (https://bioconductor.org/packages/release/bioc/html/edgeR.html).
Usage
1
countsToTmm(counts, log = TRUE, prior.count = 3)
Arguments
counts
The matrix of counts.
log
Passed to cpm.
prior.count
Passed to cpm.
Value
The normalized expression matrix
martingarridorc/biokit documentation built on June 28, 2021, 12:24 a.m.
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Description Usage Arguments Value
View source: R/tmm_normalization.R
Description
Normalizes a raw counts matrix into log transformed counts per millions using the edgeR 'Trimmed Mean of M-Values' (TMM) normalization method. For more information please refer to the edgeR package (https://bioconductor.org/packages/release/bioc/html/edgeR.html).
Usage
1 | countsToTmm(counts, log = TRUE, prior.count = 3)
|
Arguments
counts |
The matrix of counts. |
log |
Passed to cpm. |
prior.count |
Passed to cpm. |
Value
The normalized expression matrix
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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