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Bioinformatics | Computational Biology | Microbiology AMPActiPred: A three-stage framework for predicting antibacterial peptides and activity levels with deep forest. May 9, 2024
Bioinformatics | Infectious Disease | Machine Learning Identifying Antitubercular Peptides via Deep Forest Architecture with Effective Feature Representation. January 16, 2024
Bioinformatics | Machine Learning | Pharmacology Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning. December 6, 2023
Bioinformatics | Computational Biology DeepAFP: an effective computational framework for identifying antifungal peptides based on deep learning. August 18, 2023
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Bioinformatics | Medical Informatics | Molecular Biology Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach. November 28, 2022
Bioinformatics | Computational Biology Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities. November 3, 2022