Foreseer: Apply the trained ForeseeModel on a TestObject

In JRC-COMBINE/FORESEE: A Tool for the Systematic Comparison of Translational Drug Response Modeling Pipelines

Description

The Foreseer applies the ForeseeModel that was trained on the features of a FORESEE TrainObject to the test data to gain a prediction of the TestObject's drug response.

Usage

Foreseer(TestObject, ForeseeModel, BlackBox)

Arguments

TestObject	Object that contains all data that the model is to be tested on, including molecular data (such as gene expression, mutation, copy number variation, methylation, cancer type, etc. ) and drug response data
ForeseeModel	Model that has been trained on a TrainObject with the function ForeseeTrain().

Value

Foreseen

Predicted drug response of the samples listed in the TestObject obtained by applying the ForeseeModel to the features of the TestObject.

JRC-COMBINE/FORESEE documentation built on Jan. 24, 2020, 1:19 a.m.