nnNorm: Spatial and intensity based normalization of cDNA microarray data based on robust neural nets

This package allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("nnNorm")
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
Bioconductor views Microarray Preprocessing TwoChannel
Date of publicationNone
MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
LicenseLGPL
Version2.38.0
http://bioinformaticsprb.med.wayne.edu/tarca/

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/compNorm.R R/detectSpatialBias.R R/maNormNN.R
build
build/vignette.rds
inst
inst/doc
inst/doc/nnNorm.R
inst/doc/nnNorm.Rnw
inst/doc/nnNorm.pdf
inst/otherDoc
inst/otherDoc/nnNormGuide.Rnw
inst/otherDoc/nnNormGuide.bib
man
man/compNorm.Rd man/detectSpatialBias.Rd man/maNormNN.Rd
vignettes
vignettes/nnNorm.Rnw
vignettes/nnNorm.bib
vignettes/nnNormGuide.pdf

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.