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 |