Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome

BACKGROUND: To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than samplin...

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Detalles Bibliográficos
Autores principales: Boehm, Kevin Michael, Bhinder, Bhavneet, Raja, Vijay Joseph, Dephoure, Noah, Elemento, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321722/
https://www.ncbi.nlm.nih.gov/pubmed/30611210
http://dx.doi.org/10.1186/s12859-018-2561-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6321722/
https://www.ncbi.nlm.nih.gov/pubmed/30611210
http://dx.doi.org/10.1186/s12859-018-2561-z

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