Package: nnNorm 2.69.0

Adi Laurentiu Tarca

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.

Authors:Adi Laurentiu Tarca <[email protected]>

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nnNorm.pdf |nnNorm.html✨
nnNorm/json (API)

# Install 'nnNorm' in R:
install.packages('nnNorm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:nnNorm-2.69.0(bioc 3.20)nnNorm-2.68.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

3 exports 0.71 score 4 dependencies 1 mentions

Last updated 2 months agofrom:60acf3c318

Exports:compNormdetectSpatialBiasmaNormNN

Dependencies:limmamarraynnetstatmod

nnNorm Tutorial

Rendered fromnnNorm.Rnwusingutils::Sweaveon Jun 17 2024.

Last update: 2013-11-01
Started: 2013-11-01