train_classification_model: Train gene expression model from methylation profiles

In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles

Description

train_classification_model trains a regression model for predicting gene expression levels by taking as input the higher order methylation features extracted from specific genomic regions.

Usage

train_classification_model(formula = NULL, model_name = "svm", train,
  is_summary = TRUE)

Arguments

formula	An object of class formula, e.g. see lm function. If NULL, the simple linear regression model is used.
model_name	A string denoting the regression model. Currently, available models are: "svm", "randomForest", "rlm", "mars" and "lm".
train	The training data.
is_summary	Logical, print the summary statistics.

Value

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.

Author(s)

C.A.Kapourani [e-mail]

See Also

predict_model_gex

andreaskapou/BPRMeth-devel documentation built on May 12, 2019, 3:32 a.m.