QuantileNorm {EBSeq} | R Documentation

## 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)

[Package EBSeq version 1.26.0 Index]