ISOpureS1.model_optimize.omega.omega_compute_loglikelihood

(K-1)x1 matrix representing the weights of the normal profiles B_i used to
         make the weighted combination that forms the mean parameter vector for the 
         Dirichlet distribution over m

omega

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 omega for 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.

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

Description

Usage

Arguments

Value