ISOpureS2.model_optimize.opt_kappa {ISOpureR} | R Documentation |
Optimize kappa in step 2
Description
This function optimizes kappa, the strength parameter in the prior over the reference cancer profile. Note that we don't directly optimize kappa because it has constraints (must be greater than the minimum determined in ISOpure.step2.PPE.)
Usage
ISOpureS2.model_optimize.opt_kappa(
tumordata,
model,
NUM_ITERATIONS_RMINIMIZE,
iter,
NUM_GRID_SEARCH_ITERATIONS
)
Arguments
tumordata |
a GxD matrix representing gene expression profiles of tumour samples |
model |
list containing all the parameters to be optimized |
NUM_ITERATIONS_RMINIMIZE |
minimum number of iteration that the minimization algorithm runs |
iter |
the iteration number |
NUM_GRID_SEARCH_ITERATIONS |
number of times to try restarting with different initial values |
Value
The model with the kappa parameter (which is a 1xD vector) updated
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
[Package ISOpureR version 1.1.3 Index]