Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.
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Trust & Context
- Original Title:
- Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.
- Published In:
- Annals of oncology : official journal of the European Society for Medical Oncology, 31(8), 978-990 (2020)
- Authors:
- De Mattos-Arruda, L, Vazquez, M, Finotello, F, Lepore, R, Porta, E, Hundal, J, Amengual-Rigo, P, Ng, C K Y, Valencia, A, Carrillo, J, Chan, T A, Guallar, V, McGranahan, N, Blanco, J, Griffith, M
- Database ID:
- RPEP-04762
Evidence Hierarchy
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Cite This Study
https://rethinkpeptides.com/research/RPEP-04762APA
De Mattos-Arruda, L; Vazquez, M; Finotello, F; Lepore, R; Porta, E; Hundal, J; Amengual-Rigo, P; Ng, C K Y; Valencia, A; Carrillo, J; Chan, T A; Guallar, V; McGranahan, N; Blanco, J; Griffith, M. (2020). Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.. Annals of oncology : official journal of the European Society for Medical Oncology, 31(8), 978-990. https://doi.org/10.1016/j.annonc.2020.05.008
MLA
De Mattos-Arruda, L, et al. "Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.." Annals of oncology : official journal of the European Society for Medical Oncology, 2020. https://doi.org/10.1016/j.annonc.2020.05.008
RethinkPeptides
RethinkPeptides Research Database. "Neoantigen prediction and computational perspectives towards..." RPEP-04762. Retrieved from https://rethinkpeptides.com/research/de-2020-neoantigen-prediction-and-computational
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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.