# Quantile Normalization

### Description

'QuantileNorm' gives the quantile normalization.

### Usage

1 | ```
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

1 2 3 4 5 | ```
data(GeneMat)
Sizes = QuantileNorm(GeneMat,.75)
#EBOut = EBTest(Data = GeneMat,
# Conditions = as.factor(rep(c("C1","C2"), each=5)),
# sizeFactors = Sizes, maxround = 5)
``` |

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