Optimizes the ISOpure parameters for step 1 cyclically until convergence
ISOpureS1.model_core.optmodel(tumordata, model, NUM_ITERATIONS=35)
a GxD matrix representing gene expression profiles of tumor samples
list containing all the parameters to be optimized
(optional) minimum number of iterations of optimization algorithm, default is 35
updated model list containing all the parameters