Author

Jing Jin

University of South CarolinaORCID 0000-0002-5592-4206Unclaimed ORCID profile · follow to get notified of new preprints

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Jing Jin2 papers · University of California, San Francisco

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Alireza NasiriiD· 2 shared Jianjun HuiD· 2 shared Yong ZhaoiD· 2 shared Yuxin CuiiD· 2 shared Zhonghao LiuiD· 2 shared Ansi ZhangiD· 1 shared Stephen Louis· 1 shared Zheng XiongiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Alireza NasiriORCID

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2 papers

Recent·Most cited

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

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

DeepSeqPanII predicts peptide-HLA class II binding using an interpretable recurrent neural network with attention mechanisms, achieving state-of-the-art performance.

IEEE Transactions on Computational Biology and Bioinformatics · Apr 22, 2021Peer-reviewedBioinformatics

Attention mechanism-based deep learning pan-specificmodel for interpretable MHC-I peptide binding prediction

Jing Jin, Zhonghao Liu, Alireza Nasiri, Yuxin Cui, Stephen Louis, Ansi Zhang, Yong Zhao, Jianjun Hu

The paper introduces DeepAttentionPan, a deep learning model for MHC-I peptide binding prediction that uses attention mechanisms to improve interpretability and performance.

bioRxiv · Nov 7, 2019 · PreprintBioinformatics