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 1.2.0 Index]