QuantileNorm: Quantile Normalization

In wiscstatman/EBSeq: An R package for gene and isoform differential expression analysis of RNA-seq data

Quantile Normalization

Description

'QuantileNorm' gives the quantile normalization.

Usage

QuantileNorm(Data, Quantile)

Arguments

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.

Details

Use a quantile point to normalize the data.

Value

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

Author(s)

Ning Leng

References

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

See Also

MedianNorm

Examples

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

wiscstatman/EBSeq documentation built on June 3, 2023, 7:34 a.m.