Description Usage Arguments Value Author(s)
Compute the the part of the loglikelihood function relevant to omega in step 1
1 | ISOpureS1.model_optimize.omega.omega_loglikelihood(ww, tumordata, model)
|
ww |
(K-1)x1 matrix, log(omega), where the entries in omega are constrained to add to 1 where K-1 is the number of normal samples |
tumordata |
a GxD matrix representing gene expression profiles of tumor samples |
model |
list containing all the parameters to be optimized |
The negative of the loglikelihood function relevant to omega
Gerald Quon, Catalina Anghel, Francis Nguyen
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