RBM-MHC: A Semi-Supervised Machine-Learning Method for Sample-Specific Prediction of Antigen Presentation by HLA-I Alleles

The recent increase of immunopeptidomics data, obtained by mass spectrometry or binding assays, opens up possibilities for investigating endogenous antigen presentation by the highly polymorphic human leukocyte antigen class I (HLA-I) protein. State-of-the-art methods predict with high accuracy pres...

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Detalles Bibliográficos
Autores principales: Bravi, Barbara, Tubiana, Jérôme, Cocco, Simona, Monasson, Rémi, Mora, Thierry, Walczak, Aleksandra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2021
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895905/
https://www.ncbi.nlm.nih.gov/pubmed/33338400
http://dx.doi.org/10.1016/j.cels.2020.11.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895905/
https://www.ncbi.nlm.nih.gov/pubmed/33338400
http://dx.doi.org/10.1016/j.cels.2020.11.005

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