Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine
Fig 3
(A) Galaxy workflow to create and train a deep learning model, then use the model for visualization and prediction. (B) Precision-recall curve for a deep neural network trained to predict binding sites for a single transcription factor. (C) Precision-recall curves for a deep neural network that predicts 919 regulatory element binding profiles, with each curve in the plot denoting a precision-recall curve for 1 regulatory element.