Anticancer peptide prediction via multi-kernel cnn and attention model

HIGHLIGHTS

• who: Anticancer Peptide Prediction via et al. from the School of Informatics, Xiamen University, Xiamen, China, Boston Children`s Hospital, Boston, MA, United States, Chongqing have published the research: Anticancer Peptide Prediction via Multi-Kernel CNN and Attention Model, in the Journal: (JOURNAL)
• what: The paper proposes a model with strong anti-cancer peptide recognition ability based on learnable adaptive embedding and amino_acid structure features. This article first examines the peptide datasets used, which are introduced in Datasets Section. The authors compare it with other models and discuss the results. The authors evaluate the performance . . .
  

   

  

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