Software implementation of the algorithm BaySIC, a Bayesian approach toward analysis of significantly mutated genes in cancer data.
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.
Nicholas B. Larson
Maintainer: Nicholas B. Larson <larson.nicholas@mayo.edu>
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.