Find best order of the samples assuming some smooth GP prior on the expression profiles over this ordering.
1 2 3 4 | find.smooth.tau(dl, psi = exp(dl$hyper$mu_psi),
omega = exp(dl$hyper$mu_omega), num.cores = default.num.cores(),
num.tau.to.try = num.cores, num.tau.to.keep = num.cores,
method = "metropolis", ...)
|
dl |
de.lorean object |
psi |
Temporal variation |
omega |
Noise |
num.cores |
Number of cores to run on. Defaults to default.num.cores() |
num.tau.to.try |
How many initialisations to try |
num.tau.to.keep |
How many initialisations to keep |
method |
Method to use "maximise" or "metropolis" |
... |
Extra arguments to method |
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