inner_predict_model_expr {BPRMeth} | R Documentation

## (INNER) Predict expression

### Description

This functions makes predictions of gene expression levels using a model trained on methylation features extracted from genomic regions.

### Usage

    inner_predict_model_expr(model, test, is_summary = TRUE)

### Arguments

`model` | The fitted regression model, i.e. the output of `inner_train_model_expr`.
`test` | The testing data.
`is_summary` | Logical, print the summary statistics.

### Value

A list containing the following elements:

- `test_pred`: The predicted values for the test data.

- `test_errors`: The test error metrics.

### Author(s)

C.A.Kapourani C.A.Kapourani@ed.ac.uk

### See Also

`predict_expr`

### Examples

    # Create synthetic data
    train_data <- data.frame(x = rnorm(20), y=rnorm(20, 1, 4))
    test_data <- data.frame(x = rnorm(40), y=rnorm(20, 1, 3))

    # Train the model
    train_model <- inner_train_model_expr(formula = y~., model_name="svm",
                                          train = train_data)

    # Make predictions
    res <- inner_predict_model_expr(model = train_model$model, test = test_data)

[Package BPRMeth version 1.16.0 Index]