Package: TurboNorm 1.55.0

Maarten van Iterson

TurboNorm: A fast scatterplot smoother suitable for microarray normalization

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.

Authors:Maarten van Iterson and Chantal van Leeuwen

TurboNorm_1.55.0.tar.gz
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TurboNorm_1.55.0.tgz(r-4.4-x86_64)TurboNorm_1.55.0.tgz(r-4.4-arm64)TurboNorm_1.55.0.tgz(r-4.3-x86_64)TurboNorm_1.55.0.tgz(r-4.3-arm64)
TurboNorm_1.55.0.tar.gz(r-4.5-noble)TurboNorm_1.55.0.tar.gz(r-4.4-noble)
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TurboNorm.pdf |TurboNorm.html
TurboNorm/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:TurboNorm-1.55.0(bioc 3.21)TurboNorm-1.54.0(bioc 3.20)

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

microarrayonechanneltwochannelpreprocessingdnamethylationcpgislandmethylationarraynormalization

3.30 score 1 scripts 267 downloads 5 exports 13 dependencies

Last updated 2 months agofrom:0c415666c8. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-win-x86_64NOTENov 30 2024
R-4.5-linux-x86_64NOTENov 30 2024
R-4.4-win-x86_64NOTENov 30 2024
R-4.4-mac-x86_64NOTENov 30 2024
R-4.4-mac-aarch64NOTENov 30 2024
R-4.3-win-x86_64NOTENov 30 2024
R-4.3-mac-x86_64NOTENov 30 2024
R-4.3-mac-aarch64NOTENov 30 2024

Exports:normalize.AffyBatch.psplinenormalize.psplinepanel.psplinepsplineturbotrend

Dependencies:affyaffyioBiobaseBiocGenericsBiocManagerconvertgenericslatticelimmamarraypreprocessCorestatmodzlibbioc

TurboNorm Overview

Rendered fromturbonorm.Rnwusingutils::Sweaveon Nov 30 2024.

Last update: 2013-10-26
Started: 2013-10-22