Jean Radig

The paper introduces kaleidoCell, a framework for identifying transcriptional meta-programs in single-cell datasets, and applies it to glioblastoma data to uncover treatment-related signatures.

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