Package: dyebias 1.67.0

Philip Lijnzaad

dyebias: The GASSCO method for correcting for slide-dependent gene-specific dye bias

Many two-colour hybridizations suffer from a dye bias that is both gene-specific and slide-specific. The former depends on the content of the nucleotide used for labeling; the latter depends on the labeling percentage. The slide-dependency was hitherto not recognized, and made addressing the artefact impossible. Given a reasonable number of dye-swapped pairs of hybridizations, or of same vs. same hybridizations, both the gene- and slide-biases can be estimated and corrected using the GASSCO method (Margaritis et al., Mol. Sys. Biol. 5:266 (2009), doi:10.1038/msb.2009.21)

Authors:Philip Lijnzaad and Thanasis Margaritis

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

Peer review:

On BioConductor:dyebias-1.67.0(bioc 3.21)dyebias-1.66.0(bioc 3.20)

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

microarraytwochannelqualitycontrolpreprocessing

3.30 score 10 scripts 257 downloads 1 mentions 9 exports 6 dependencies

Last updated 23 days agofrom:c649c7073e. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winNOTENov 19 2024
R-4.5-linuxNOTENov 19 2024
R-4.4-winNOTENov 19 2024
R-4.4-macNOTENov 19 2024
R-4.3-winNOTENov 19 2024
R-4.3-macNOTENov 19 2024

Exports:dyebias.application.subsetdyebias.apply.correctiondyebias.boxplotdyebias.estimate.iGSDBsdyebias.maplotdyebias.monotonicitydyebias.monotonicityplotdyebias.rgplotdyebias.trendplot

Dependencies:BiobaseBiocGenericsgenericslimmamarraystatmod

dye bias correction

Rendered fromdyebias-vignette.Rnwusingutils::Sweaveon Nov 19 2024.

Last update: 2018-09-06
Started: 2013-11-01