# Learning from DNA to Predict Enhancers

## Documentation for package ‘LedPred’ version 1.46.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

createModel | Create the model with the optimal features
crm.features | This is data to be included in my package
evaluateModelPerformance | Evaluate model performances
feature.ranking | This is data to be included in my package
LedPred | Creates an SVM model given a feature matrix
mapFeaturesToCRMs | R interface to bed_to_matrix REST in server
mcTune | Tuning the SVM parameters
rankFeatures | Ranking the features according to their importance
scoreData | Predicting new regulatory regions
tuneFeatureNb | Selecting the optimal number of features