ISOpureS1.model_optimize.omega.omega_loglikelihood

(K-1)x1 matrix, log(omega), where the entries in omega are constrained to add to 1
		where K-1 is the number of normal samples

a GxD matrix representing gene expression profiles of tumor samples

tumordata

list containing all the parameters to be optimized

model

Compute the the part of the loglikelihood function relevant to omega in step 1

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.

Paul C. Boutros

ISOpureR

ISOpureS1.model_optimize.omega.omega_loglikelihood: Compute the loglikelihood relevant to omega for step 1

Description

Usage

Arguments

Value