ISOpureS1.model_optimize.mm.mm_loglikelihood

a GxD matrix representing gene expression profiles of tumor samples

tumordata

list containing all the parameters to be optimized

model

Computes the loglikelihood function relevant to optimizing the reference cancer 
	profile, mm, 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.

Paul C. Boutros

ISOpureR

Deconvolution of Tumour Profiles

Gerald Quon 

Catalina V Anghel 

Syed Haider 

Francis Nguyen 

Amit G Deshwar 

Quaid D Morris 

Paul C Boutros 

ISOpureS1.model_optimize.mm.mm_loglikelihood function

Compute the loglikelihood relevant to mm for step 1 — ISOpureS1.model_optimize.mm.mm_loglikelihood

Compute the loglikelihood relevant to mm for step 1

ISOpureS1.model_optimize.mm.mm_loglikelihood: Compute the loglikelihood relevant to mm for step 1

Description

Usage

Arguments

Value