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 | 
| Maintainer | Adi Laurentiu Tarca | 
To install this package, start R and enter:
    source("http://bioconductor.org/biocLite.R")
    biocLite("nnNorm")
   | nnNorm Tutorial | R Script | |
|---|---|---|
| nnNormGuide.pdf | R Script | |
| Reference Manual | 
| biocViews | |
|---|---|
| Depends | 
       R
       , 
       nnet
       , 
       marray
       | 
| Imports | |
| Suggests | |
| System Requirements | |
| License | LGPL | 
| URL | http://bioinformaticsprb.med.wayne.edu/tarca/ | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Development History | Bioconductor Changelog | 
| Package source | nnNorm_2.8.0.tar.gz | 
|---|---|
| Windows binary | nnNorm_2.8.0.zip | 
| MacOS X 10.4 (Tiger) binary | nnNorm_2.8.0.tgz | 
| MacOS X 10.5 (Leopard) binary | nnNorm_2.8.0.tgz | 
| Package Downloads Report | Downloads Stats |