AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides
Published in Frontiers in genetics, 2023
This work employs novel deep learning strategies based on Enhanced Bidirectional LSTM (EBiLSTM) networks for the accurate prediction of antimicrobial peptides, achieving significant improvements in prediction accuracy and computational efficiency.
Recommended citation: Y Wang, L Wang, C Li, Y Pei, X Liu, Y Tian. (2023). "AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides." Frontiers in genetics. 14, 1232117.
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