Netie: inferring the evolution of neoantigen–T cell interactions in tumors-Reference-Cited by-同舟云学术

Netie: inferring the evolution of neoantigen–T cell interactions in tumors

Published:2022-10-27 Issue:11 Volume:19 Page:1480-1489
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Lu Tianshi,Park Seongoh,Han Yi,Wang Yunguan,Hubert Shawna Marie,Futreal P. Andy^ORCID,Wistuba Ignacio,Heymach John V.^ORCID,Reuben Alexandre^ORCID,Zhang Jianjun^ORCID,Wang Tao^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

https://www.nature.com/articles/s41592-022-01644-7.pdf

Reference55 articles.

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3. Chung, A. S. et al. Immune checkpoint inhibition is safe and effective for liver cancer prevention in a mouse model of hepatocellular carcinoma. Cancer Prev. Res. 13, 911–922 (2020).

4. Lu, T. et al. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Nat. Mach. Intell. 3, 864–875 (2021).

5. Hugo, W. et al. Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma. Cell 165, 35–44 (2016).

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