norm.TMM: Normalization By Trimmed Mean of M-values (TMM)
In LXQin/PRECISION.seq: Comparison of Depth Normalization Methods
Description
Usage
Arguments
Value
References
Examples
Description
Normalize the dataset using TMM, and return the normalized dataset with scaling factor scaled by 1e6.
Usage
1
Arguments
raw
raw count data in the format of data frame or matrix, with columns for samples and rows for genes.
groups
vector of characters indicating the group for each sample.
Value
list, containing dat.normed (normalized dataset) and scaling.factor (scaling factor) for each sample.
References
Examples
1
test.TMM <- norm.TMM(data.test, data.group)
LXQin/PRECISION.seq documentation built on Dec. 18, 2021, 3:41 a.m.
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Description Usage Arguments Value References Examples
Description
Normalize the dataset using TMM, and return the normalized dataset with scaling factor scaled by 1e6.
Usage
1 |
Arguments
raw |
raw count data in the format of data frame or matrix, with columns for samples and rows for genes. |
groups |
vector of characters indicating the group for each sample. |
Value
list, containing dat.normed (normalized dataset) and scaling.factor (scaling factor) for each sample.
References
Examples
1 | test.TMM <- norm.TMM(data.test, data.group)
|
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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