DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction-Reference-Cited by-同舟云学术

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DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction

Published:2021 Issue: Volume: Page:1-1
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Liu Zhonghao,Jin Jing,Cui Yuxin,Xiong Zheng,Nasiri Alireza,Zhao Yong,Hu Jianjun

Funder

National Institute of Allergy and Infectious Diseases

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/09411722.pdf?arnumber=9411722

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. TransfIGN: A Structure-Based Deep Learning Method for Modeling the Interaction between HLA-A*02:01 and Antigen Peptides;Journal of Chemical Information and Modeling;2024-06-26

4. Transformers meets neoantigen detection: a systematic literature review;Journal of Integrative Bioinformatics;2024-06-01

5. Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy;Frontiers in Immunology;2024-05-29

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