ARRmNormalization-package: ARRm normalization for Illumina methylation data
In ARRmNormalization: Adaptive Robust Regression normalization for Illumina methylation data
Description
Normalize Illumina methylation data from the Infinium HumanMethylation 450k assay with the Adaptive Robust Regression method. The normalization takes care of background intensity, dye bias, chip effects and spatial positions. The normalization can be applied to Beta values, M-values or other metrics as well.
Author(s)
Jean-Philippe Fortin <jfortin@jhsph.edu>
Celia M.T. Greenwood <celia.greenwood@mcgill.ca>
Aurelie Labbe <aurelie.labbe@mcgill.ca>
ARRmNormalization documentation built on Nov. 8, 2020, 5:25 p.m.
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Description
Normalize Illumina methylation data from the Infinium HumanMethylation 450k assay with the Adaptive Robust Regression method. The normalization takes care of background intensity, dye bias, chip effects and spatial positions. The normalization can be applied to Beta values, M-values or other metrics as well.
Author(s)
Jean-Philippe Fortin <jfortin@jhsph.edu> Celia M.T. Greenwood <celia.greenwood@mcgill.ca> Aurelie Labbe <aurelie.labbe@mcgill.ca>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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