ISOpure.model_optimize.vv.vv_deriv_loglikelihood

the column sums of log(theta), a 1xK matrix

sum_log_theta

Computes the derivative of the loglikelihood function relevant to optimizing vv for 
	step 1

math

Deconvolution of mixed tumour profiles into normal and cancer for each patient, using
the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires
mixed tumour profiles and a set of unmatched "basis" normal profiles.

ISOpure.model_optimize.vv.vv_deriv_loglikelihood: Compute the derivative of the loglikelihood relevant to vv for step 1

Description

Usage

Arguments

Value