Description Usage Arguments Value Author(s) Examples
A function to predict the drug sensitivity with binary drug-target interaction data using the modified maximization and minimization rules
1 | timmaBinary1(drug_target_profile, sens, loo = TRUE)
|
drug_target_profile |
the drug-target interaction data. See |
sens |
a drug sensitivity vector. |
loo |
a logical value indicating whether to use the leave-one-out cross-validation in the model selection process. By default, loo = TRUE. |
A list containing the following components:
dummy |
the predicted efficacy for target combinations |
error |
the prediction errors |
prediction |
predicted drug sensitivity |
Liye He liye.he@helsinki.fi
1 2 3 | data(tyner_interaction_binary)
data(tyner_sensitivity)
results<-timmaBinary1(tyner_interaction_binary[, 1:6], tyner_sensitivity[,1])
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.