Albert Li

Tracking biological hallucinations in single-cell perturbation predictions using scArchon, a comprehensive benchmarking platform

The paper benchmarks perturbation prediction tools in single-cell RNA-seq using scArchon, revealing performance disparities and highlighting the need for gene-level evaluation.

Prediction of context-specific regulatory programs and pathways using interpretable deep learning

The paper introduces COBRA, an interpretable deep learning model for scRNA-seq data that disentangles covariate effects, and demonstrates its application on interferon-stimulated mouse datasets.