DaMiR.EnsL_Predict {DaMiRseq} | R Documentation

## Predict new samples class

### Description

The best model learned by the DaMiR.EnsL_Train functionn is tested on a new dataset, in order to predict the samples class

### Usage

    DaMiR.EnsL_Predict(data, bestModel)

### Arguments

`data` | A SummarizedExperiment object or a data frame/matrix of normalized expression data. Rows and Cols should be observations and features, respectively.
`bestModel` | The best model, selected between those trained by the DaMiR.EnsL_Train function.

### Details

This function implements the prediction step on new data, given a model learned by DaMiR.EnsL_Train

### Value

A matrix containing the predictions

### Author(s)

Mattia Chiesa, Luca Piacentini

### Examples

    # use example data:
    data(selected_features)
    data(df)

[Package DaMiRseq version 2.4.3 Index]