Description Usage Arguments Value Author(s)
Computes the derivative of the loglikelihood function relevant to optimizing theta, not with respect to theta but with respect to unconstrained variables
1 | ISOpureS1.model_optimize.theta.theta_deriv_loglikelihood(ww, tumordata, dd, model)
|
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 |
The negative derivative of the loglikelihood function relevant to optimizing theta, not with respect to theta but with respect to unconstrained variables.
Gerald Quon, Catalina Anghel, Francis Nguyen
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