ISOpureS2.model_optimize.cc.cc_deriv_loglikelihood function

Compute the derivative of loglikelihood relevant to the patient cancer profiles, cc, for step 2

Computes the derivative of the part of the likelihood function relevant to optimizing cc.

ISOpureS2.model_optimize.cc.cc_deriv_loglikelihood(ww, tumordata, dd, model)

Arguments

• ww: the cc_weights for patient dd, with G entries
• 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 derivative of the loglikelihood function relevant to optimizing cc for patient dd, the cancer profile for that patient. The derivative is taken not with respect to vv but with respect to unconstrained variables via a change of variables

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen