Simulates gene intensities from the two components model as in the papers of Durbin and Rocke.
simdurbin(n, alpha, mu, seta, seps)A vector of the appropriate intensities.
number of intensities to be simulated
background mean of gene intensities
the means where the gene intensities are simulated from
standard deviation of high-level gene intensities
standard deviation of low-level gene intensities
Guy Nason <g.p.nason@bris.ac.uk>
This function generates n intensities from the
Durbin and Rocke (2001) gene intensity model with parameters
alpha, seta and seps.
Rocke, D.M. and Durbin, B.P. (2001), A model for measurement error for gene expression arrays, Journal of Computational Biology, 8, 557-569
simdurbin2