| inner_predict_model_expr {BPRMeth} | R Documentation |
This functions makes predictions of gene expression levels using a model trained on methylation features extracted from genomic regions.
inner_predict_model_expr(model, test, is_summary = TRUE)
model |
The fitted regression model, i.e. the output of
|
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
# 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)