norm.TMM: Trimmed Mean of M-values (TMM) Normalization
In LXQin/DANA: Data-driven Normalization Assessment for miRNA-Seq Data
View source: R/normalization.R
norm.TMM R Documentation
Trimmed Mean of M-values (TMM) Normalization
Description
Trimmed Mean of M-values (TMM) normalization for miRNA-Seq data.
Usage
norm.TMM(raw, groups = rep(1, ncol(raw)))
Arguments
raw
Raw read count matrix (rows = genes, cols = samples).
groups
Sample groups (subtypes)
Value
A list with the following elements:
- dataNormalized
Normalized read counts.
- scalingFactor
Normalizing factors for scaling the raw data.
Examples
rawCounts <- matrix(0:20, nrow = 7)
normCounts <- norm.TMM(rawCounts)
LXQin/DANA documentation built on March 7, 2024, 3:24 a.m.
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View source: R/normalization.R
| norm.TMM | R Documentation |
Trimmed Mean of M-values (TMM) Normalization
Description
Trimmed Mean of M-values (TMM) normalization for miRNA-Seq data.
Usage
norm.TMM(raw, groups = rep(1, ncol(raw)))
Arguments
raw |
Raw read count matrix (rows = genes, cols = samples). |
groups |
Sample groups (subtypes) |
Value
A list with the following elements:
- dataNormalized
Normalized read counts.
- scalingFactor
Normalizing factors for scaling the raw data.
Examples
rawCounts <- matrix(0:20, nrow = 7)
normCounts <- norm.TMM(rawCounts)
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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