ISOpureS2.model_optimize.opt_cc {ISOpureR} | R Documentation |
Optimize the tumor-specific cancer profiles in step 2
Description
Optimize the tumor-specific cancer profiles. Because cc is constrained (each cc_i are parameters of multinomial/discrete distribution), we don't directly optimize the likelihood function w.r.t. cc, but we perform change of variables to do unconstrained optimization. We therefore store these unconstrained variables in the field "cc_weights", and update these variables.
Usage
ISOpureS2.model_optimize.opt_cc(
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 cc_weights and log_cc updated
Author(s)
Gerald Quon, Catalina Anghel, Francis Nguyen
[Package ISOpureR version 1.1.3 Index]