ColtoCaro/missMS: Missing Data Models for Label-Free Mass Spectrometry Proteomics

This package enables the fitting of a Bayesian selction model for label-free proteomics experiments. The selection model takes into account all observed and missing values which can improve on estimation accuracy. All user specificiations are made through the formatting of the data file.

install.packages("remotes")
remotes::install_github("ColtoCaro/missMS")