Unsupervised encoding selection through ensemble pruning for biomedical classification

Overview of attention for article published in BioData Mining, March 2023

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RT @EVirusBioinfC: Versatile tool for detecting promising #antimicrobial #peptide candidates, which uses pruning methods to evaluate ensemb…

RT @EVirusBioinfC: Versatile tool for detecting promising #antimicrobial #peptide candidates, which uses pruning methods to evaluate ensemb…

Versatile tool for detecting promising #antimicrobial #peptide candidates, which uses pruning methods to evaluate ensemble #classifiers made of different peptide #encodings and base models. [co-authored by EVBC member @Heiderlab] https://t.co/YNbJVoIiQB

RT @Heiderlab: We published a new paper on #MachineLearning-based encoding selection for antimicrobial peptides in @BioDataMining #AMP #Bio…

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