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Bioinformatics. 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.

Author information

1
Department of Epidemiology and Biostatistics, Imperial College London, UK. l.bottolo@imperial.ac.uk

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.

PMID:
21233165
PMCID:
PMC3035799
DOI:
10.1093/bioinformatics/btq684
[Indexed for MEDLINE]
Free PMC Article

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