ISOpureS1.model_optimize.opt_omega {ISOpureR} | R Documentation |
Optimize omega in step 1
Description
This function optimizes omega, in fact the convex mixing weights that govern prior over the reference cancer profile.
Usage
ISOpureS1.model_optimize.opt_omega(
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 omega_weights and omega parameters updated
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
[Package ISOpureR version 1.1.3 Index]