Unsupervised encoding selection through ensemble pruning for biomedical classification.
Sebastian SpänigAlexander MichelDominik HeiderPublished in: BioData mining (2023)
The workflow conducts multiple pruning methods to evaluate ensemble classifiers composed from a wide range of peptide encodings and base models. Consequently, researchers can use the workflow for unsupervised encoding selection and ensemble creation. Ultimately, the extensible workflow can be used as a plugin for the PEPTIDE REACToR, further establishing it as a versatile tool in the domain.