MDimNormn: Multi-Dimensional MA Normalization for Plate Effect

Normalize data to minimize the difference between sample plates (batch effects). For given data in a matrix and grouping variable (or plate), the function 'normn_MA' normalizes the data on MA coordinates. More details are in the citation. The primary method is 'Multi-MA'. Other fitting functions on MA coordinates can also be employed e.g. loess.

Author
Mun-Gwan Hong
Date of publication
2015-08-12 20:12:49
Maintainer
Mun-Gwan Hong <mun-gwan.hong@scilifelab.se>
License
GPL-3
Version
0.8.0

View on CRAN

Man pages

normalizeWithMA
Multi-dimensional MA normalization for plate effect
sba
Artificially generated data alike that of Suspension bead...

Files in this package

MDimNormn
MDimNormn/inst
MDimNormn/inst/CITATION
MDimNormn/NAMESPACE
MDimNormn/data
MDimNormn/data/sba.rda
MDimNormn/R
MDimNormn/R/normalizeWithMA.R
MDimNormn/MD5
MDimNormn/DESCRIPTION
MDimNormn/man
MDimNormn/man/normalizeWithMA.Rd
MDimNormn/man/sba.Rd