Antonio Cappuccio

The paper analyzes the epigenomic changes in innate immune cells after influenza virus infection and finds coordinated rewiring of the epigenetic landscape.

SPEEDI automates single-cell multi-omics analysis by integrating data, inferring batches, and labeling cell types without user input, improving reproducibility and accessibility.

ICELLNET integrates ligand-receptor interactions and communication scores to analyze cell-to-cell communication in transcriptomic data, revealing novel interactions in breast cancer and dendritic cells.

The paper introduces SAIL, a machine learning tool to predict and analyze combinatorial stimulus interactions, revealing context-dependent functions and probabilistic algebra of cellular responses.