ISOpureS1.model_optimize.theta.theta_loglikelihood: Compute the loglikelihood relevant to theta 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 theta for step 1
Usage
1
ISOpureS1.model_optimize.theta.theta_loglikelihood(ww, tumordata, dd, model)
Arguments
ww
the theta weights corresponding to patient dd, a 1xK matrix
tumordata
a GxD matrix representing gene expression profiles of tumor samples
dd
the patient number
model
list containing all the parameters to be optimized
Value
The negative of the loglikelihood relevant to theta
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 theta for step 1
Usage
1 | ISOpureS1.model_optimize.theta.theta_loglikelihood(ww, tumordata, dd, model)
|
Arguments
ww |
the theta weights corresponding to patient dd, a 1xK matrix |
tumordata |
a GxD matrix representing gene expression profiles of tumor samples |
dd |
the patient number |
model |
list containing all the parameters to be optimized |
Value
The negative of the loglikelihood relevant to theta
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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