Description Usage Arguments Value Examples
This function allows one to associate DNA methylation with matched mRNA expression in a multivariate context while adjusting for race. This function assumes that the variable 'race' is the final column in the matrix.
| 1 | Interact(x, y, alpha, nfolds, clin)
 | 
| x | Processed DNA methylation with covariates. Race must be the final term | 
| y | Raw expression count vector | 
| alpha | Elastic net mixing penalty. Defaults to 0.5 | 
| nfolds | the number of folds to use for cross-validation | 
| clin | a matrix of clinical covariates | 
returns list of five elements for summarizing model construction.
Model is the predicted model for the gene. Predicted.Expression
is the Cross-validated predicted expression. Overall.D2 The prediction
accuracy for the interaction  model. Class1.D2 is the prediction accuracy
for the reference class. Class2.D2 is the prediction accuracy for the
non-reference class.
| 1 2 3 4 5 | 
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