lnorm: Lowess normalization function

In LMGene: LMGene Software for Data Transformation and Identification of Differentially Expressed Genes in Gene Expression Arrays

Description

Lowess normalization function

Usage

lnorm(mat1, span = 0.1)

Arguments

mat1	A data matrix to be normalized
span	Lowess smoother span. Larger values give more smoothness.

Details

mat1 must be a p by n matrix, where p is the number of genes and n is the number of arrays or samples

Value

matnorm1

Normalized matrix

Author(s)

David Rocke and Geun-Cheol Lee

References

http://dmrocke.ucdavis.edu

See Also

lnormeS, norm

Examples

library(Biobase)
library(LMGene)

#data
data(sample.mat)
data(vlist)

raw.eS <- neweS(sample.mat, vlist)

# glog transform data
trans.eS <- transeS(raw.eS, lambda = 727, alpha = 56)

# normalize
normed.exprs <- lnorm(exprs(trans.eS))

LMGene documentation built on April 28, 2020, 8:01 p.m.