ISOpureS1.model_optimize.omega.omega_loglikelihood function

Compute the loglikelihood relevant to omega for step 1

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

ISOpureS1.model_optimize.omega.omega_loglikelihood(ww, tumordata, model)

Arguments

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

Returns

The negative of the loglikelihood function relevant to omega

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen