inner_predict_model_expr: (INNER) Predict expression
In BPRMeth: Model higher-order methylation profiles

Description Usage Arguments Value Author(s) See Also Examples

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

1	inner_predict_model_expr(model, test, is_summary = TRUE)

`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.

A list containing the following elements:

test_pred: The predicted values for the test data.
test_errors: The test error metrics.

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

predict_expr

# 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)