[New paper] New method for neoantigen prediction

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

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서울특별시 서대문구 연세로 50-1, 연세대학교 의과대학 신관 613호

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