R语言 preprocessCore包 normalize.quantiles()_augsdihh

个人资料

微博

正文字体大小：大中小

R语言 preprocessCore包 normalize.quantiles()

(2015-04-22 17:00:24)

标签：

normalize.quantiles {preprocessCore}

source("http://bioconductor.org/biocLite.R")
Bioconductor version 2.12 (BiocInstaller 1.10.3), ?biocLite for help
biocLite("preprocessCore")

library(preprocessCore)

Using a normalization based upon quantiles, this function normalizes a matrix of probe level intensities.

  normalize.quantiles(x,copy=TRUE)

`x`	A matrix of intensities where each column corresponds to a chip and each row is a probe.
`copy`	Make a copy of matrix before normalizing. Usually safer to work with a copy, but in certain situations not making a copy of the matrix, but instead normalizing it in place will be more memory friendly.


> a<-matrix(1:6,3,2)

> a

     [,1] [,2]

[1,]    1    4

[2,]    2    5

[3,]    3    6


> library(preprocessCore)

> b=normalize.quantiles(a)

> b

     [,1] [,2]

[1,]  2.5  2.5

[2,]  3.5  3.5

[3,]  4.5  4.5

阅读┊ 收藏 ┊ 喜欢 ▼ ┊打印┊举报/Report