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TurboNorm

A fast scatterplot smoother suitable for microarray normalization


Bioconductor version: Release (3.18)

A fast scatterplot smoother based on B-splines with second-order difference penalty. Functions for microarray normalization of single-colour data i.e. Affymetrix/Illumina and two-colour data supplied as marray MarrayRaw-objects or limma RGList-objects are available.

Author: Maarten van Iterson and Chantal van Leeuwen

Maintainer: Maarten van Iterson <mviterson at gmail.com>

Citation (from within R, enter citation("TurboNorm")):

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("TurboNorm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("TurboNorm")
TurboNorm Overview PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews CpGIsland, DNAMethylation, MethylationArray, Microarray, Normalization, OneChannel, Preprocessing, Software, TwoChannel
Version 1.50.0
In Bioconductor since BioC 2.8 (R-2.13) (13 years)
License LGPL
Depends R (>= 2.12.0), convert, limma(>= 1.7.0), marray
Imports stats, grDevices, affy, lattice
System Requirements
URL http://www.humgen.nl/MicroarrayAnalysisGroup.html
See More
Suggests BiocStyle, affydata, hgu95av2cdf
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TurboNorm_1.50.0.tar.gz
Windows Binary TurboNorm_1.50.0.zip
macOS Binary (x86_64) TurboNorm_1.50.0.tgz
macOS Binary (arm64) TurboNorm_1.50.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/TurboNorm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/TurboNorm
Bioc Package Browser https://code.bioconductor.org/browse/TurboNorm/
Package Short Url https://bioconductor.org/packages/TurboNorm/
Package Downloads Report Download Stats