Machine-learning prediction of tumor antigen immunogenicity in the selection of therapeutic epitopes

Current tumor neoantigen calling algorithms primarily rely on epitope/MHC binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity using approaches modeled from tumor-specific antigen data. Here, we describe peptide-int...

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Bibliografski detalji
Izdano u:Cancer Immunol Res
Glavni autori: Smith, Christof C., Chai, Shengjie, Washington, Amber R., Lee, Samuel J., Landoni, Elisa, Field, Kevin, Garness, Jason, Bixby, Lisa M., Selitsky, Sara R., Parker, Joel S., Savoldo, Barbara, Serody, Jonathan S., Vincent, Benjamin G.
Format: Artigo
Jezik:Inglês
Izdano: 2019
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Article
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6774822/
https://ncbi.nlm.nih.gov/pubmed/31515258
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/2326-6066.CIR-19-0155
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