Linjing Liu

UniPert-G2CP transfers genetic perturbation insights to chemical perturbation modeling, enabling efficient in silico drug screening with reduced data costs.

This paper introduces scTranslator, a pre-trained large generative model that translates single-cell transcriptomes to proteomes, showing accuracy and utility in multiple downstream tasks.

This study compares proteomics and transcriptomics for drug response prediction in cancer cell lines, finding proteomics provides better performance.