ISOpureS2.model_optimize.cc.cc_deriv_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 derivative of the part of the likelihood function relevant to optimizing 
	cc.

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_deriv_loglikelihood: Compute the derivative of loglikelihood relevant to the patient cancer profiles, cc, for step 2

Description

Usage

Arguments

Value