ISOpureS2.model_optimize.theta.theta_loglikelihood function

Compute the loglikelihood relevant to theta for step 2

Computes the part of the loglikelihood function relevant to optimizing theta for step 2

ISOpureS2.model_optimize.theta.theta_loglikelihood(ww, tumordata, dd, model)

Arguments

• ww: the theta weights corresponding to patient dd, a 1xK matrix
• tumordata: a GxD matrix representing gene expression profiles of tumor samples
• dd: the patient number
• model: list containing all the parameters to be optimized

Returns

The negative of the loglikelihood relevant to theta

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen