ISOpureS1.model_optimize.omega.omega_compute_loglikelihood: Compute loglikelihood relevant to omega for step 1
In ISOpureR: Deconvolution of Tumour Profiles
Description
Usage
Arguments
Value
Author(s)
Description
Computes the part of the loglikelihood function relevant to optimizing omega for step 1
Usage
1
ISOpureS1.model_optimize.omega.omega_compute_loglikelihood(omega, tumordata, model)
Arguments
omega
(K-1)x1 matrix representing the weights of the normal profiles B_i used to
make the weighted combination that forms the mean parameter vector for the
Dirichlet distribution over m
tumordata
a GxD matrix representing gene expression profiles of tumor samples
model
list containing all the parameters to be optimized
Value
The part of the loglikelihood function relevant to optimizing omega
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 part of the loglikelihood function relevant to optimizing omega for step 1
Usage
1 | ISOpureS1.model_optimize.omega.omega_compute_loglikelihood(omega, tumordata, model)
|
Arguments
omega |
(K-1)x1 matrix representing the weights of the normal profiles B_i used to make the weighted combination that forms the mean parameter vector for the Dirichlet distribution over m |
tumordata |
a GxD matrix representing gene expression profiles of tumor samples |
model |
list containing all the parameters to be optimized |
Value
The part of the loglikelihood function relevant to optimizing omega
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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