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...

Fuld beskrivelse

Na minha lista:
Bibliografiske detaljer
Udgivet i:Cancer Immunol Res
Main Authors: 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
Sprog:Inglês
Udgivet: 2019
Fag:
Article
Online adgang: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: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker