VariantModels:
Error rates of supervised learning methods for variant calling
Description
Several supervised machine learning models were applied to the binary
classification task of predicting True Positive or False Positive
variants, using several filtering scores as input.
Usage
data("VariantModels")
Arguments
Format
List of 6 data.frames: roc, auc, error, ranks, thresholds, minima.