NonLinearBaseline: NonLinearBaseline

In walachja/pretreatment: The package with two normalization methods (lBase, nlBase)

Description

Non-Linear Baseline normalization.

Usage

NonLinearBaseline(x, prd.td = c(0.003, 0.007))

Arguments

x	data matrix with rows as samples and columns as variables
prd.td	cutoff parameter

Details

Non-Linear Baseline normalization as described in [1]. The function is based on function from Affy package [2]

Value

The function returns object of type "matrix".

liwong.x

matrix after normalization

Author(s)

Jan Walach

Jan Walach

References

[1] CAC Vol 82: Data Analysis for Omic Sciences: Methods and Applications chapters are due, Chapter Data normalization and scaling: consequences forthe analysis in omics sciences

[2] L.Gautier and L. Cope and B.M. Bolstad and R. A. Irizarry (2004) affy—analysis of Affymetrix GeneChip data at the probe level, Bioinformatics, 20(3), 307–315, 2004

Examples

data(mcad)
x <- mcad[,-1]
NonLinearBaseline(x,prd.td=c(0.003,0.007))

walachja/pretreatment documentation built on May 21, 2019, 10:14 a.m.