Open AccessAbstract 5670: Machine learning methods to identify salient genomic predictors of clinical responses to immune checkpoint inhibitor therapy
Author(s) -
Emma Bigelow,
Alexander S. Baras,
Mark Yarchoan,
Elizabeth M. Jaffee
Publication year - 2020
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 1.055
H-Index - 84
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2020-5670
Subject(s) - artificial intelligence , random forest , exome , immune checkpoint , machine learning , classifier (uml) , medicine , exome sequencing , cancer , computational biology , oncology , computer science , biology , mutation , immunotherapy , gene , genetics