ISOpureS1.model_core.optmodel function

Optimizes the ISOpure parameters for step 1

Optimizes the ISOpure parameters for step 1 cyclically until convergence

ISOpureS1.model_core.optmodel(tumordata, model, NUM_ITERATIONS=35)

Arguments

• tumordata: a GxD matrix representing gene expression profiles of tumor samples
• model: list containing all the parameters to be optimized
• NUM_ITERATIONS: (optional) minimum number of iterations of optimization algorithm, default is 35

Returns

• model: updated model list containing all the parameters

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen