We published a new paper in Annals of Oncology.
In this study, Sora Kim and Sangwoo Kim developed a new algorithm, Neopepsee, that predicts somatic mutation-derived neoantigens from NGS sequencing data. We used a machine learning model with 9 immunogenicty features and showed outstanding performance in the prediction.
Neopepsee: accurate genome-level prediction of neoantigens by harnessing sequence and amino acid immunogenicity information
Annals of Oncology 2018, 29(4):1030-1036