ISOpureS1.model_optimize.opt_omega: Optimize omega in step 1

In ISOpureR: Deconvolution of Tumour Profiles

Description

This function optimizes omega, in fact the convex mixing weights that govern prior over the reference cancer profile.

Usage

ISOpureS1.model_optimize.opt_omega(
	tumordata, 
	model, 
	NUM_ITERATIONS_RMINIMIZE, 
	iter, 
	NUM_GRID_SEARCH_ITERATIONS
	) 

Arguments

tumordata	a GxD matrix representing gene expression profiles of tumour samples
model	list containing all the parameters to be optimized
NUM_ITERATIONS_RMINIMIZE	minimum number of iteration that the minimization algorithm runs
iter	the iteration number
NUM_GRID_SEARCH_ITERATIONS	number of times to try restarting with different initial values

Value

The model with the omega_weights and omega parameters updated

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen

ISOpureR documentation built on May 11, 2019, 1:02 a.m.