Martine De Cock

This paper demonstrates that synthetic scRNA-seq data generated by leading methods can be attacked to infer donor membership, showing privacy risks and evaluating noise-based defenses.

The paper benchmarks generative models for synthetic bulk RNA-seq data, finding trade-offs between utility, biological preservation, and privacy risks across different methods.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.