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Figure 2 | BMC Research Notes

Figure 2

From: PCP-ML: Protein characterization package for machine learning

Figure 2

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.

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