Patrick Sorn

This paper introduces splice2neo, a tool to identify tumor-specific splice junctions from somatic mutations, which can generate neoantigen candidates for immunotherapy.

This study uses multiple instance learning to predict immune checkpoint blockade efficacy based on qualitative neoantigen profiles, showing better performance than quantitative approaches.

The paper analyzes MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 Omicron and Delta variants by comparing epitope binding affinities and identifying mutations affecting immune recognition.

The paper analyzes SARS-CoV-2 genome data to show increasing mutation rates in spike protein variants over time and highlights the need for continuous viral surveillance.