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...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:Cancer Immunol Res
Hoofdauteurs: 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.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
Onderwerpen:
Article
Online toegang: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
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items