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

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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.

Author
Adi Laurentiu Tarca <atarca@med.wayne.edu>
Date of publication
None
Maintainer
Adi Laurentiu Tarca <atarca@med.wayne.edu>
License
LGPL
Version
2.38.0
URLs

View on Bioconductor

Man pages

compNorm
Compares the distribution of several vectors at a time using...
detectSpatialBias
Detecting spatial bias within the print-tips of a two channel...
maNormNN
Intensity and spatial normalization using robust neural...

Files in this package

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