Jiayu Zhou

InsilicoCell predicts cellular functional profiles and enables multi-objective virtual drug screening by integrating diverse molecular data and tasks.

This study links digital speech measures to surrogate CSF biomarkers in Alzheimer's disease, finding correlations between speech complexity and amyloid-beta, tau, and phosphorylated tau levels.

Loopsim performs enrichment analysis on Hi-C loop profiles by simulating empirical null distributions to assess statistical significance of loop features.

SPIDER predicts abundance of over 2500 surface proteins from single-cell transcriptomes using a context-agnostic zero-shot deep ensemble model, outperforming existing methods and enabling applications in cancer research.

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