ISOpureS2.model_core.optmodel: Optimizes the ISOpure parameters for step 2
In ISOpureR: Deconvolution of Tumour Profiles
Description
Usage
Arguments
Value
Author(s)
Description
Optimizes the ISOpure parameters for step 2 cyclically until convergence
Usage
1
ISOpureS2.model_core.optmodel(tumordata, model, NUM_ITERATIONS=35)
Arguments
tumordata
a GxD matrix representing gene expression profiles of tumor samples
model
list containing all the parameters to be optimized
NUM_ITERATIONS
(optional) minimum number of iterations of optimization algorithm,
default is 35
Value
model
updated model list containing all the parameters
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
Optimizes the ISOpure parameters for step 2 cyclically until convergence
Usage
1 | ISOpureS2.model_core.optmodel(tumordata, model, NUM_ITERATIONS=35)
|
Arguments
tumordata |
a GxD matrix representing gene expression profiles of tumor samples |
model |
list containing all the parameters to be optimized |
NUM_ITERATIONS |
(optional) minimum number of iterations of optimization algorithm, default is 35 |
Value
model |
updated model list containing all the parameters |
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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