This function optimizes omega, in fact the convex mixing weights that govern prior over the reference cancer profile.
ISOpureS1.model_optimize.opt_omega(
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 omega_weights and omega parameters updated