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

Package index
Search the nnNorm package
Vignettes
Functions
6
Source code
4
Man pages
3
Home
/
Bioconductor
/
nnNorm: Spatial and intensity based normalization of cDNA microarray data based on robust neural nets

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

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.

Getting started

nnNorm Tutorial

Browse package contents

Vignettes Man pages API and functions Files

Package details
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
Bioconductor views Microarray Preprocessing TwoChannel
MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
LicenseLGPL
Version2.54.0
URL http://bioinformaticsprb.med.wayne.edu/tarca/ 
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("nnNorm")

Try the nnNorm package in your browser

Any scripts or data that you put into this service are public.

nnNorm documentation built on Nov. 8, 2020, 7:49 p.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close