norm.RUVs: Normalization By Remove Unwanted Variation Using Replicate...
In LXQin/PRECISION.seq: Comparison of Depth Normalization Methods

Description Usage Arguments Value References Examples

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

1	norm.RUVs(raw, groups)

`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.

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.

RUVSeq Tutorial