timmaBinary1: Predicting drug sensitivity with binary drug-target...

Description Usage Arguments Value Author(s) Examples

Description

A function to predict the drug sensitivity with binary drug-target interaction data using the modified maximization and minimization rules

Usage

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timmaBinary1(drug_target_profile, sens, loo = TRUE)

Arguments

drug_target_profile

the drug-target interaction data. See timma.

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.

Value

A list containing the following components:

dummy

the predicted efficacy for target combinations

error

the prediction errors

prediction

predicted drug sensitivity

Author(s)

Liye He liye.he@helsinki.fi

Examples

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Example output



timma documentation built on May 2, 2019, 1:10 p.m.