R: A Bayesian Approach for Geneset Selection

# A Bayesian Approach for Geneset Selection

## Documentation for package ‘BAGS’ version 2.51.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

BAGS-package | A Bayesian Approach for Geneset Selection (BAGS).
AnnotationMFGO | List containing a collection of gene symbols with their associated GO term for the Molecular function ontology
BAGS | A Bayesian Approach for Geneset Selection (BAGS).
DataGeneSets | Function that filters the gene sets to work with the desired size.
Gibbs2 | Function obtains the MCMC chains for the parameters of interest that will form their posterior distribution.
Gibbs3 | Function obtains the MCMC chains for the parameters of interest that will form their posterior distribution.
Gibbs4 | Function obtains the MCMC chains for the parameters of interest that will form their posterior distribution.
Gibbs5 | Function obtains the MCMC chains for the parameters of interest that will form their posterior distribution.
MCMCDataSet | Function that transform the dataset into the required format for the Gibbs sampler.
ReadGMT | Function that extracts the gene set definition from a .gmt file.