ISOpureS1.model_optimize.omega.omega_compute_loglikelihood function

Compute loglikelihood relevant to omega for step 1

Computes the part of the loglikelihood function relevant to optimizing omega for step 1

ISOpureS1.model_optimize.omega.omega_compute_loglikelihood(omega, tumordata, model)

Arguments

• omega: (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
• tumordata: a GxD matrix representing gene expression profiles of tumor samples
• model: list containing all the parameters to be optimized

Returns

The part of the loglikelihood function relevant to optimizing omega

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen