Dissecting tumor cell programs through group biology estimation in clinical single-cell transcriptomics

Existing methods for identifying differential gene expression signatures for clinical case/control analyses with high throughput sequencing data present various challenges. Here, the authors develop BEANIE, a nonparametric statistical method that outperforms existing approaches for simulated and real-world cancer datasets, revealing biologically and clinically relevant insights.