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Bioinformatics Methods
iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide Identification
Published:9/19/2025
Bitter Peptide RecognitionMulti-Representation Ensemble Learning ModelBioinformatics Methods
The iBitterStack framework enhances bitter peptide identification accuracy by integrating Protein Language Model embeddings and handcrafted physicochemical features, utilizing various machine learning classifiers, achieving 96.09% accuracy in independent tests.
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Antimicrobial Peptide Prediction Using Ensemble Learning Algorithm
Published:2/25/2022
Antimicrobial Peptide PredictionEnsemble Learning AlgorithmPeptide Sequence Feature ExtractionMultidrug Resistance ControlBioinformatics Methods
This study develops an ensemble learning algorithm integrating SVM, Random Forest, and GBM with optimized peptide features, boosting antimicrobial peptide prediction accuracy by 10%, aiding multidrug resistance control.
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