Rundmus/MDimNormn-R_package: 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.

Getting started

Package details

AuthorMun-Gwan Hong
MaintainerMun-Gwan Hong <mun-gwan.hong@scilifelab.se>
LicenseGPL-3
Version0.8.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Rundmus/MDimNormn-R_package")
Rundmus/MDimNormn-R_package documentation built on May 29, 2019, 9:17 a.m.