QuantileNorm: Quantile Normalization
In EBSeq: An R package for gene and isoform differential expression analysis of RNA-seq data

Description Usage Arguments Details Value Author(s) References See Also Examples

'QuantileNorm' gives the quantile normalization.

1	QuantileNorm(Data, Quantile)

`Data`	The data matrix with transcripts in rows and lanes in columns.
`Quantile`	The quantile the user wishs to use. Should be a number between 0 and 1.

Use a quantile point to normalize the data.

The function will return a vector contains the normalization factor for each lane.

Ning Leng

Bullard, James H., et al. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC bioinformatics 11.1 (2010): 94.

MedianNorm

data(GeneMat)
Sizes = QuantileNorm(GeneMat,.75)
#EBOut = EBTest(Data = GeneMat,
#	Conditions = as.factor(rep(c("C1","C2"), each=5)),
#	sizeFactors = Sizes, maxround = 5)