ConsensusMetaclusteringModel {PDATK}R Documentation

Constructor for a ConsensusClusterModel Object.

Description

Constructor for a ConsensusClusterModel Object.

Usage

ConsensusMetaclusteringModel(trainData, ..., randomSeed)

Arguments

trainData

A MultiAssayExperiment or SummarizedExperiment containing molecular data to be used for consensus clustering with ConsensusClusterPlus::ConsensusClusterPlus

...

Force subsequent parameters to be named. Not used.

randomSeed

An integer randomSeed that will be passed to the randomSeed parameter of the ConsensusClusterPlus::ConsensusClusterPlus function when training the model.

Value

A ConsensusMetaclusteringModel object containing the training data and ready to be trained.

See Also

ConsensusClusterPlus::ConsensusClusterPlus

Examples

data(CSPC_MAE)
set.seed(1987)
conMetaclustModel <- ConsensusMetaclusteringModel(CSPC_MAE, randomSeed=1987)


[Package PDATK version 1.1.3 Index]