timma (version 1.2.1)

timmaModel1: Predicting drug sensitivity with binary drug-target interaction data using two.sided TIMMA model

Description

A function to predict the drug sensitivity with binary drug-target interaction data using the two.sided TIMMA model

Usage

timmaModel1(drug_target_profile, y_actual, loo = TRUE)

Arguments

drug_target_profile

the drug-target interaction data. See timma.

y_actual

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.

Value

A list containing the following components:

dummy

the predicted efficacy matrix

error

the prediction errors

prediction

predicted drug sensitivity

The difference between timmaModel and timmaBinary is timmaModel returns the predicted efficacy matrix of all possible target combinations while timmaBinary not.

Examples

data(tyner_interaction_binary)
data(tyner_sensitivity)
results<-timmaModel1(tyner_interaction_binary[, 1:6], tyner_sensitivity[,1])