ColtoCaro/compMS: Bayesian Compositional Proteomics Modeling via Stan
Version 0.0.0.9000

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

Maintainer
LicenseGPL (>=3)
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ColtoCaro/compMS")
ColtoCaro/compMS documentation built on Nov. 24, 2017, 5:37 p.m.