To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("nnNorm")
In most cases, you don't need to download the package archive at all.
nnNorm
Spatial and intensity based normalization of cDNA microarray data based on robust neural nets
Bioconductor version: 3.1
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 at med.wayne.edu>
Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>
Citation (from within R,
enter citation("nnNorm")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("nnNorm")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nnNorm")
| R Script | nnNorm Tutorial | |
| Reference Manual |
Details
| biocViews | Microarray, Preprocessing, Software, TwoChannel |
| Version | 2.32.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 10.5 years) |
| License | LGPL |
| Depends | R (>= 2.2.0), marray |
| Imports | graphics, grDevices, marray, methods, nnet, stats |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | http://bioinformaticsprb.med.wayne.edu/tarca/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | nnNorm_2.32.0.tar.gz |
| Windows Binary | nnNorm_2.32.0.zip |
| Mac OS X 10.6 (Snow Leopard) | nnNorm_2.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | nnNorm_2.32.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/nnNorm/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/nnNorm/ |
| Package Downloads Report | Download Stats |
Documentation »
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