Figure 2
From: PCP-ML: Protein characterization package for machine learning
Dataflow diagram for common uses of PCP-ML. The feature generation process accesses sequence data through the Parsers. Based on the prediction task, numerical data that characterizes a protein’s sequence is provided through the Characterizers and Encoders. The generated features are then saved to a file or passed to a machine learning prediction process to make an end prediction.