inner_train_model_expr {BPRMeth} | R Documentation |
This function trains a regression model for predicting gene expression levels by taking as input the higher order methylation features extracted from specific genomic regions.
inner_train_model_expr( formula = NULL, model_name = "lm", train, is_summary = TRUE )
formula |
An object of class |
model_name |
A string denoting the regression model. Currently,
available models are: |
train |
The training data. |
is_summary |
Logical, print the summary statistics. |
A list containing the following elements:
formula
: The formula that was used.
gex_model
: The
fitted model.
train_pred
The predicted values for the training
data.
train_errors
: The training 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)) res <- inner_train_model_expr(formula = y~., train = train_data) # Using a different model res <- inner_train_model_expr(model_name = "randomForest", train = train_data)