acceptanceProbability: Compute the acceptance probability for each updated design

In designGG: Computational tool for designing genetical genomics experiments.

Description

Compute the acceptance probability for each updated design. It depends on the current temperature value of simulated annealing process. This is a subfunction needed for designGG, but is not directly used.

Usage

    acceptanceProbability( designScore, newDesignScore, method, 
                           temperature )

Arguments

designScore	score of current design.
newDesignScore	score of updated design.
method	either "SA" (simulated annealing) or "MH". (Metropolis Hastings)
temperature	current temperature in simulated annealing process.

Author(s)

Yang Li <[e-mail]>, Gonzalo Vera <[e-mail]>
Rainer Breitling <[e-mail]>, Ritsert Jansen <[e-mail]>

References

E. Wit and J. McClure. Statistics for Microarrays: Design, Analysis and Inference. (2004) Chichester: Wiley.
Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical genomics: the added value from environmental perturbation, Trends Genet (2008) 24:518-524.
Y. Li, M. Swertz, G. Vera, J. Fu, R. Breitling, and R.C. Jansen. designGG: An R-package and Web tool for the optimal design of genetical genomics experiments. BMC Bioinformatics 10:188(2009)
http://gbic.biol.rug.nl/designGG

See Also

designGG

designGG documentation built on May 2, 2019, 5:51 a.m.