Workflow from Scientific Research

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At the core of PyPropel is the module for feature generation, which helps the structural and functional characterisation of protein sequences, particularly facilitating sequence-based prediction problem studies. Once labels and features are generated, the data can directly be passed on to machine learning libraries (e.g. scikit-learn, with two examples demonstrated on PyPropel’s documentation) to train models.
#Workflow#Flowchart#Table Image#Feature Generation#Protein Sequences#Sequence-Based Prediction#Machine Learning Libraries#Scikit-learn
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