Normalization By Remove Unwanted Variation Using Replicate Samples (RUVs)

Normalize the dataset using RUV using replicate samples, and return the normalized dataset with adjusting factor.

norm.RUVs(raw, groups)

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 the adjust.factor (adjusting factors) for the design matrix. The normalized dataset could only used for exploration, and adjusting factors are recommended as a covariate in the downstream analysis.

References

RUVSeq Tutorial

Examples

test.RUVs <- norm.RUVs(data.test, data.group)