Jing Xing

The paper develops a computational pipeline to identify bispecific antibody targets by integrating bulk, single-cell, and spatial transcriptomics data, finding GPC3 and MUC13 as promising candidates in hepatocellular carcinoma.

TransCell predicts genomic and cellular responses from gene expression using transfer learning, achieving strong performance in drug sensitivity and gene effect score prediction.

The paper identifies common mechanisms of action among anti-SARS-CoV-2 drugs and shows that targeting cholesterol homeostasis and microtubule cytoskeleton organization synergizes with antivirals.

OCTAD enables virtual screening of therapeutics for cancer patient groups using gene expression features, prioritizing potent drug candidates for experimental testing.