Author

Marco Scutari

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Open access Sep 2026

Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics.

Gene regulatory network (GRN) inference is an essential tool for revealing dysregulated relationships between genes in different cell types from single-cell transcriptomic (SCT) data. GRNs based on Bayesian networks (BNs) learned from SCT data can elucidate directed regulatory relationships representing complex disease...

Noriaki Sato, Marco Scutari, S. Imoto · Cell Reports Methods · 0 citations

#machine learning Preprint Sep 2026

The Role of Uncertainty in Assessing the Fairness of Machine Learning Models

Machine learning models are widely used in clinical applications, social media, law enforcement and critical infrastructure. Verifying whether their outputs are biased against disadvantaged groups or individuals is crucial to ensuring they are fair and allowing their use in such settings. A rigorous risk assessment of...

Francesca Panero, Ernst C. Wit, Marco Scutari · 0 citations