ISOpureS1.model_optimize.mm.mm_loglikelihood: Compute the loglikelihood relevant to mm for step 1
In ISOpureR: Deconvolution of Tumour Profiles
Description
Usage
Arguments
Value
Author(s)
Description
Computes the loglikelihood function relevant to optimizing the reference cancer
profile, mm, for step 1
Usage
1
ISOpureS1.model_optimize.mm.mm_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
Value
The negative of the likelihood function relevant to optimizing mm.
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
ISOpureR documentation built on May 11, 2019, 1:02 a.m.
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Description Usage Arguments Value Author(s)
Description
Computes the loglikelihood function relevant to optimizing the reference cancer profile, mm, for step 1
Usage
1 | ISOpureS1.model_optimize.mm.mm_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 |
Value
The negative of the likelihood function relevant to optimizing mm.
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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