Description Usage Arguments Value Author(s)
Computes the derivative of the loglikelihood function relevant to optimizing the reference cancer profile, mm, for step 1
1 | ISOpureS1.model_optimize.mm.mm_deriv_loglikelihood(ww, tumordata, model)
|
ww |
the mm_weights, with G entries |
tumordata |
a GxD matrix representing gene expression profiles of tumor samples |
model |
list containing all the parameters to be optimized |
The negative derivative the likelihood function relevant to optimizing mm. The derivative is taken not with respect to mm but with respect to unconstrained variables via a change of variables.
Gerald Quon, Catalina Anghel, Francis Nguyen
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