BaySIC-package {BaySIC}R Documentation

Bayesian Analysis of Significantly Mutated Genes in Cancer

Description

Software implementation of the algorithm BaySIC, a Bayesian approach toward analysis of significantly mutated genes in cancer data.

Details

Package: BaySIC
Type: Package
Version: 1.0
Date: 2013-03-12
License: GPL (>=2)

This package provides functions for Bayesian SMG analysis, which includes plotting functions, model definition and fitting, and evaluation of individual genes using posterior predictive methods. BaySIC is a flexible algorithm that can accommodate gene-level covariate data, varying subject-specific sequence coverage, and subtype analysis. It also includes two reference data files (ccds.18 and ccds.19) corresponding to human genome builds hg18 and hg19, which respectively consist of sequence context enumeration of the Consensus Coding Sequence genes in each build.

Author(s)

Nicholas B. Larson

Maintainer: Nicholas B. Larson <larson.nicholas@mayo.edu>


[Package BaySIC version 1.0 Index]