iScience: Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomes (Chen Lab)
March 12, 2026
Hui-Mei Tsai1,2,3,12 ∙ Tzu-Hung Hsiao2,4,5,12 ∙ Yu-Chiao Chiu6,7 ∙ Yufei Huang6,7 ∙ Eric Y. Chuang1,8,9,10 chuangey@ntu.edu.tw ∙ Yidong Chen3,11,13 cheny8@uthscsa.edu Highlights • DeepGxP provides a framework to translate transcriptomes into proteomic insight • DeepEnrich links RNA predictors to functional protein pathways and activities • DeepEnrich reveals cancer type-specific EGFR and HER2 phosphorylation patterns • Mutation effects are captured even without mutation data in model training Summary Proteins that impact phenotype and disease are [...]
