FeatureCombiner: FeatureCombiner

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

Description

The Feature Combiner combines all selected Input Data Types into one Feature Matrix

Usage

FeatureCombiner(TrainObject, TestObject, InputDataTypes)

Arguments

TrainObject	Object that contains all data needed to train a model, including molecular data (such as gene expression, mutation, copy number variation, methylation, cancer type, etc. ) and drug response data
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
InputDataTypes	Data types of the TrainObject that are to be used to train the model, such as "GeneExpression", "Mutation", "CopyNumberVariation", "Methylation", "CancerType", etc.

Value

TrainObject	The TrainObject with a new Feature matrix combining all specified input data types and a Featuretype Vector indicating the molecular data type of each feature
TestObject	The TestObject with a new Feature matrix combining all specified input data types and a Featuretype Vector indicating the molecular data type of each feature

Examples

FeatureCombiner(GDSC,GSE6434,c("GeneExpression", "Mutation"))

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