Package: normalize450K 1.35.0

Jonathan Alexander Heiss

normalize450K: Preprocessing of Illumina Infinium 450K data

Precise measurements are important for epigenome-wide studies investigating DNA methylation in whole blood samples, where effect sizes are expected to be small in magnitude. The 450K platform is often affected by batch effects and proper preprocessing is recommended. This package provides functions to read and normalize 450K '.idat' files. The normalization corrects for dye bias and biases related to signal intensity and methylation of probes using local regression. No adjustment for probe type bias is performed to avoid the trade-off of precision for accuracy of beta-values.

Authors:Jonathan Alexander Heiss

normalize450K_1.35.0.tar.gz
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normalize450K_1.35.0.tar.gz(r-4.5-noble)normalize450K_1.35.0.tar.gz(r-4.4-noble)
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normalize450K.pdf |normalize450K.html
normalize450K/json (API)

# Install 'normalize450K' in R:
install.packages('normalize450K', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:normalize450K-1.35.0(bioc 3.21)normalize450K-1.34.0(bioc 3.20)

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

normalizationdnamethylationmicroarraytwochannelpreprocessingmethylationarray

3.30 score 1 scripts 220 downloads 4 exports 9 dependencies

Last updated 4 months agofrom:089eb29c55. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winNOTEJan 28 2025
R-4.5-macNOTEJan 28 2025
R-4.5-linuxNOTEJan 28 2025
R-4.4-winNOTEJan 28 2025
R-4.4-macNOTEJan 28 2025
R-4.3-winNOTEJan 28 2025
R-4.3-macNOTEJan 28 2025

Exports:dont_normalize450KestimateLCnormalize450Kread450K

Dependencies:askpassbase64BiobaseBiocGenericsgenericsilluminaioopensslquadprogsys

Normalization of 450K data

Rendered fromread_and_normalize450K.Rnwusingutils::Sweaveon Jan 28 2025.

Last update: 2016-04-01
Started: 2015-12-01