Deep Learning Using Tumor HLA Peptide Mass Spectrometry Datasets Improves Neoantigen Identification

Brendan Bulik-Sullivan,Jennifer Busby,Christine D Palmer,Matthew J Davis,Tyler Murphy,Andrew Clark,Michele Busby,Fujiko Duke,Aaron Yang,Lauren Young, Noelle C Ojo, Kamilah Caldwell, Jesse Abhyankar, Thomas Boucher,Meghan G Hart,Vladimir Makarov,Vincent Thomas De Montpreville,Olaf Mercier,Timothy A Chan,Giorgio Scagliotti,Paolo Bironzo,Silvia Novello,Niki Karachaliou,Rafael Rosell,Ian Anderson,Nashat Gabrail, John Hrom, Chainarong Limvarapuss, Karin Choquette,Alexander Spira,Raphael Rousseau,Cynthia Voong,Naiyer A Rizvi,Elie Fadel,Mark Frattini,Karin Jooss,Mojca Skoberne,Joshua Francis,Roman Yelensky

Nature Biotechnology（2018）

Cited 224|Views57

Key words

CD8-positive T cells,Computational models,Machine learning,MHC class I,Tumour immunology,Life Sciences,general,Biotechnology,Biomedicine,Agriculture,Biomedical Engineering/Biotechnology,Bioinformatics

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