predict_model_gex: Predict gene expression model from methylation profiles
In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles

Description Usage Arguments Value Author(s) See Also Examples

predict_model_gex makes predictions of gene expression levels using a model trained on higher order methylation features extracted from specific genomic regions.

1	predict_model_gex(model, test, is_summary = TRUE)

`model`	The fitted regression model, i.e. the output of `train_model_gex`.
`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

train_model_gex

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

# Train the model
train_model <- train_model_gex(formula = y~., train = train_data)

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