norm.SVA: Normalization By Surrogate Variable Analysis for Sequencing...
In LXQin/PRECISION.seq: Comparison of Depth Normalization Methods

Description Usage Arguments Value References Examples

Normalize the dataset using SVA, and return the normalized dataset with adjusting factor.

1	norm.SVA(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.
`calibrator`	whether the raw dataset includes the known negative control genes which should contain "cali" in the gene names.

list, containing dat.normed (normalized dataset) without the calibrators, and the adjust.factor (adjusting factors) for the design matrix. The normalized dataset could only used for exploration.

SVA Package