DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity

DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity

Neoantigens play important roles in cancer immunotherapy. Current methods used for neoantigen prediction focus on the binding between human leukocyte antigens (HLAs) and peptides, which is insufficient for high-confidence neoantigen prediction. In this study, we apply deep learning techniques to pre...

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Bibliographic Details
Main Authors: Jingcheng Wu, Wenzhe Wang, Jiucheng Zhang, Binbin Zhou, Wenyi Zhao, Zhixi Su, Xun Gu, Jian Wu, Zhan Zhou, Shuqing Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Immunology
Subjects:
deep learning
neoantigen
recurrent neural network
human leukocyte antigen
cancer immunology
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2019.02559/full

Internet

https://www.frontiersin.org/article/10.3389/fimmu.2019.02559/full

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