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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Publicado en:Cancer Immunol Res
Autores principales: 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.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
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Article
Acceso en línea: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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