ColtoCaro/compMS: Bayesian Compositional Proteomics Modeling via Stan

Fits pre-compiled Bayesian models for isobaric tag mass spectrometry proteomics experiments. Models take into account the compositional nature of the data created by the constraints of automatic gain control. All user specifications are made through the formatting of the data file.

Getting started

Package details

AuthorJonathon OBrien
MaintainerJonathon OBrien <>
LicenseGPL (>=3)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
ColtoCaro/compMS documentation built on March 13, 2020, 10:11 a.m.