This function optimizes vv, the strength parameter in the prior over the reference cancer profile. Note that we don't directly optimize vv because it has constraints (must be >=1 to guarantee real-valued likelihoods).
ISOpureS2.model_optimize.opt_vv(
tumordata,
model,
NUM_ITERATIONS_RMINIMIZE,
iter,
NUM_GRID_SEARCH_ITERATIONS
)a GxD matrix representing gene expression profiles of tumour samples
list containing all the parameters to be optimized
minimum number of iteration that the minimization algorithm runs
the iteration number
number of times to try restarting with different initial values
The model with the vv parameter updated