ISOpureS1.model_optimize.mm.mm_deriv_loglikelihood function

Compute the derivative of the loglikelihood relevant to mm for step 1

Compute the derivative of the loglikelihood relevant to mm for step 1

Computes the derivative of the loglikelihood function relevant to optimizing the reference cancer profile, mm, for step 1

ISOpureS1.model_optimize.mm.mm_deriv_loglikelihood(ww, tumordata, model)

Arguments

  • 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

Returns

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.

Author(s)

Gerald Quon, Catalina Anghel, Francis Nguyen

  • Maintainer: Paul C Boutros
  • License: GPL-2
  • Last published: 2019-05-11

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