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]