Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types

@article{Lin2016ImbalancedML,
  title={Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types},
  author={Weizhong Lin and Dong Xu},
  journal={Bioinformatics},
  year={2016},
  volume={32 24},
  pages={
          3745-3752
        }
}
MOTIVATION With the rapid increase of infection resistance to antibiotics, it is urgent to find novel infection therapeutics. In recent years, antimicrobial peptides (AMPs) have been utilized as potential alternatives for infection therapeutics. AMPs are key components of the innate immune system and can protect the host from various pathogenic bacteria. Identifying AMPs and their functional types has led to many studies, and various predictors using machine learning have been developed… CONTINUE READING
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