ISOpureS2.model_optimize.cc.cc_loglikelihood

the cc_weights for patient dd, with G entries

a GxD matrix representing gene expression profiles of tumor samples

tumordata

list containing all the parameters to be optimized

model

Computes the part of the loglikelihood function relevant to optimizing cc for patient 
	dd, the cancer profile for that patient

math

Deconvolution of mixed tumour profiles into normal and cancer for each patient, using
the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires
mixed tumour profiles and a set of unmatched "basis" normal profiles.

ISOpureS2.model_optimize.cc.cc_loglikelihood: Compute the loglikelihood relevant to the patient cancer profiles, cc, for step 2

Description

Usage

Arguments

Value