An interpretable ML model to characterize patient-specific HLA-I antigen presentation

Personalized immunotherapy holds the promise of revolutionizing cancer prevention and treatment. However, selecting HLA-bound peptide targets that are specific to patient tumors has been challenging due to a lack of patient-specific antigen presentation models. Here, we present epiNB, a white-box, p...

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Detalles Bibliográficos
Autores principales: Liang, Shaoheng, Jiang, Xianli, Chiu, Yulun, Xu, Haodong, Kim, Kun Hee, Lizee, Gregory, Chen, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054957/
https://www.ncbi.nlm.nih.gov/pubmed/36993682
http://dx.doi.org/10.1101/2023.03.12.532264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054957/
https://www.ncbi.nlm.nih.gov/pubmed/36993682
http://dx.doi.org/10.1101/2023.03.12.532264

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