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.
| Version: | 0.8.0 |
| Depends: | R (≥ 3.2.0) |
| Published: | 2015-08-12 |
| DOI: | 10.32614/CRAN.package.MDimNormn |
| Author: | Mun-Gwan Hong |
| Maintainer: | Mun-Gwan Hong <mun-gwan.hong at scilifelab.se> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | MDimNormn citation info |
| CRAN checks: | MDimNormn results |
| Reference manual: | MDimNormn.html , MDimNormn.pdf |
| Package source: | MDimNormn_0.8.0.tar.gz |
| Windows binaries: | r-devel: MDimNormn_0.8.0.zip, r-release: MDimNormn_0.8.0.zip, r-oldrel: MDimNormn_0.8.0.zip |
| macOS binaries: | r-release (arm64): MDimNormn_0.8.0.tgz, r-oldrel (arm64): MDimNormn_0.8.0.tgz, r-release (x86_64): MDimNormn_0.8.0.tgz, r-oldrel (x86_64): MDimNormn_0.8.0.tgz |
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