To install this package, start R and enter:
source("http://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: 2.14
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:
source("http://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 | 2.28.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | LGPL |
| Depends | R (>= 2.2.0), marray |
| Imports | graphics, grDevices, marray, methods, nnet, stats |
| Suggests | |
| System Requirements | |
| URL | http://bioinformaticsprb.med.wayne.edu/tarca/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | nnNorm_2.28.0.tar.gz |
| Windows Binary | nnNorm_2.28.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | nnNorm_2.28.0.tgz |
| Mac OS X 10.9 (Mavericks) | nnNorm_2.28.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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