ACP-PDAFF: Pretrained model and dual-channel attentional feature fusion for anticancer peptides prediction
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference51 articles.
1. AntiCP 2.0: an updated model for predicting anticancer peptides;Agrawal;Brief. Bioinform.,2021
2. ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides;Ahmed;Sci. Rep.,2021
3. iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space;Akbar;Artif. Intell. Med.,2017
4. cACP-2LFS: classification of anticancer peptides using sequential discriminative model of KSAAP and two-level feature selection approach;Akbar;IEEE Access,2020
5. Unified rational protein engineering with sequence-based deep representation learning;Alley;Nat. Methods,2019
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