PhilipBerg/PaiR: Imputation and Significance Analysis of Proteomics Data

Analysis of lable free proteomics data in R. Includes data normalization, gamma regression to establish mean-variance trends that is used to remove mean-variance trends in the data as well as adaptive inference of standard deviation for imputation. It uses limma for significance test, and generates multiple imputations to reduce type-I error from the imputation.

install.packages("remotes")
remotes::install_github("PhilipBerg/PaiR")