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:
normalize450K_1.35.0.tar.gz
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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-1.33.0(bioc 3.20)normalize450K-1.32.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
normalizationdnamethylationmicroarraytwochannelpreprocessingmethylationarray
Last updated 23 days agofrom:089eb29c55. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | NOTE | Oct 30 2024 |
R-4.4-mac | NOTE | Oct 30 2024 |
R-4.3-win | NOTE | Oct 30 2024 |
R-4.3-mac | NOTE | Oct 30 2024 |
Exports:dont_normalize450KestimateLCnormalize450Kread450K
Dependencies:askpassbase64BiobaseBiocGenericsilluminaioopensslquadprogsys
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimation of Leukocyte composition for whole blood samples | estimateLC |
Normalization of 450K data by LOESS method | dont_normalize450K normalize450K read450K |