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. 2011 Feb 15;27(4):587-8.
doi: 10.1093/bioinformatics/btq684. Epub 2011 Jan 13.

ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration

Leonardo Bottolo  1 , Marc Chadeau-Hyam, David I Hastie, Sarah R Langley, Enrico Petretto, Laurence Tiret, David Tregouet, Sylvia Richardson
Affiliations

ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration

Leonardo Bottolo et al. Bioinformatics. .

Abstract

Summary: ESS++ is a C++ implementation of a fully Bayesian variable selection approach for single and multiple response linear regression. ESS++ works well both when the number of observations is larger than the number of predictors and in the 'large p, small n' case. In the current version, ESS++ can handle several hundred observations, thousands of predictors and a few responses simultaneously. The core engine of ESS++ for the selection of relevant predictors is based on Evolutionary Monte Carlo. Our implementation is open source, allowing community-based alterations and improvements.

Availability: C++ source code and documentation including compilation instructions are available under GNU licence at http://bgx.org.uk/software/ESS.html.

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Figures

Fig. 1.
Fig. 1.
Marginal posterior probability of inclusion (MPPI) obtained running ESS++ on a multiple tissues mapping experiment for three different genes: for each gene, the set of SNPs associated with high MPPI (>0.50) are highlighted, showing monogenic control for (a) Cd36 gene (SNP J664145) and (b) Ascl3 gene (SNP J697407), with evidence for polygenic control for (c) Hopx gene (SNP WKY-G-j-20h03f1_365 and SNP J590621).
See this image and copyright information in PMC

References

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