ISOpureS2.model_optimize.cc.cc_deriv_loglikelihood {ISOpureR}R Documentation

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

Description

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

Usage

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

Value

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


[Package ISOpureR version 1.1.3 Index]