ColtoCaro/missMS: Missing Data Models for Label-Free Mass Spectrometry Proteomics
Version 0.0.0.9000

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 specificiatio 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/missMS")
ColtoCaro/missMS documentation built on Oct. 21, 2017, 1:01 p.m.