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