compMS-package: Bayesian Compositional Proteomics Modeling via Stan

In ColtoCaro/compMS: Bayesian Compositional Proteomics Modeling via Stan

Description

The compMS package enables users to fit compostional proteomics models for isobaric tag mass spectrometry experiments. The package is designed to make these models accesible to people without a background in Bayesian statistics or compositional data analysis. This is done by requiring users to follow a very specific format for data entry. Once the data is formatted properly everything else is handled internally. The required fields and headers are explained in the documentation for the sample data sampleDat.

Once data has been correctly formatted and loaded into your workspace, you can create a Stan model with the function compBayes.

Model Details

This is where I will explain the model and the options for use:

No description yet. For now see the supplement from the manuscript https://pubs.acs.org/doi/10.1021/acs.jproteome.7b00699

ColtoCaro/compMS documentation built on March 13, 2020, 10:11 a.m.