Yizhou Li

The paper identifies functional mutations affecting PD-L1 and HLA-I expression using a large-scale CRISPR screen, revealing clinically relevant variants that influence immunotherapy response.

The paper identifies co-occurring mutations in cancer genomes using FP-Growth, revealing 100,933 mutation pairs across 22 cancer types and highlighting potential therapeutic targets.

This paper introduces an attention-based GCN method for breast cancer subtype classification using multi-omics data and identifies patient-specific gene markers through interpretability techniques.