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DeepNetBim: deep learning model for predicting HLA-epitope interactions based on network analysis by harnessing binding and immunogenicity information

Crossref DOI link: https://doi.org/10.1186/s12859-021-04155-y

Published Online: 2021-05-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Yang, Xiaoyun

Zhao, Liyuan

Wei, Fang

Li, Jing http://orcid.org/0000-0003-4602-3227
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 31871329, No. 31271416)

Shanghai Municipal Science and Technology Major Project (Grant No. 2017SHZDZX01)
License Information

Text and Data Mining valid from 2021-05-05

Version of Record valid from 2021-05-05
More Information

Article History

Received: 11 December 2020

Accepted: 27 April 2021

First Online: 5 May 2021

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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