Enrico Ferrero

This study benchmarks nine TF prioritization tools using H3K27ac ChIP-seq data from 84 perturbation experiments, identifying three top-performing tools.

The paper compares latent factor models on scRNA-seq data to identify disease-related gene signatures in autoimmune disease cell subsets.

Deep learning rivals or beats baselines across imaging, health records, genomics and drug discovery but is not yet transformative; scarce labels, privacy and opacity remain hurdles.