In journals
Sottosanti, A., Risso, D., and Denti, F. (2025).
Spatially Regularized Gaussian Mixtures for Clustering Spatial
Transcriptomic Data. Journal of Classification.
(article
- preprint - repository)
Bovo, E., Belloni, P., Sottosanti, A., and
Boccuzzo, G. (2025). A model-based scan statistic with enhanced
specificity for detecting spatial clusters of high mortality risk.
Environmental and Ecological Statistics 32:1489–1518.
(article)
Sottosanti, A., Bovo, E., Belloni, P., and
Boccuzzo, G. (2025). Bayesian mapping of mortality clusters.
Biostatistics 26(1):kxaf028.
(article
- preprint - repository)
Sottosanti, A., Denti, F., Galimberti, S.,
Risso, D., and Capitoli, G. (2025). Spatially informed nonnegative
matrix trifactorization for coclustering mass spectrometry data.
Biometrical Journal 67(2):e70031.
(article - repository)
Montin, A., Brazzale, A. R., Menardi, G., and Sottosanti,
A. (2024). Locating \(\gamma\)-ray sources on the celestial
sphere via modal clustering. Statistical Methods &
Applications 33:153–172.
(article)
Ianniello, A., Sottosanti, A., Borriello, G.,
and Vincenti, M. (2023). Perception of Quality of Life and Fatigue in
Multiple Sclerosis Patients Treated with High-Dose Vitamin D.
Clinical and Translational Neuroscience 7(2):12-27.
(article)
Sottosanti, A., and Risso, D. (2023).
Co-clustering of Spatially Resolved Transcriptomic Data. The Annals
of Applied Statistics 17(2):1444-1468.
(article
- repository)
Costantin, D., Sottosanti, A., Brazzale, A. R.,
Bastieri, D., Fan, J. (2022). Bayesian Mixture Modeling of the
High-Energy Photon Counts collected by the Fermi Large Area Telescope.
Statistical Modelling 22(3):175-198.
(article)
Hayden, E., Airoldi, C., Scotti, L., Bellan, M.,
Sottosanti, A., Bergamasco, P., Salamina, L., Capponi,
A., Sainaghi, P.P., and Pirisi, M. (2021). Modelling hospital bed
necessity for COVID-19 patients during the decline phase of the epidemic
trajectory. Minerva Respiratory Medicine 60(2):29-35.
(article)
Discussions in journals
Righelli, D., Sottosanti, A., and Risso, D.
(2023). Designing spatial transcriptomic experiments. Nature
Methods 20(3):355-356.
(article)
Sottosanti, A., Risso, D., and Castiglione, C.
(2022). Contributed discussion: “Bayesian Nonstationary and
Nonparametric Covariance Estimation for Large Spatial Data” by B. Kidd
and M. Katzfuss. Bayesian Analysis 17(1):337-339.
(article)
In volumes
Sottosanti, A., Costantin, D., Bastieri, D., and
Brazzale, A. R. (2019). Discovering and Locating High-Energy
Extra-Galactic Sources by Bayesian Mixture Modelling. New
Statistical Developments in Data Science (A. Petrucci, F. Racioppi
and R. Verde Eds.), Springer Proceedings in Mathematics &
Statistics, 288, 135-148.
(article)
Caponera, A., Denti, F., Rigon, T., Sottosanti,
A., and Gelfand, A. (2018). Hierarchical Spatio- Temporal
Modeling of Resting State fMRI Data. Studies in Neural Data
Science (A. Canale, D. Durante, L. Paci and B. Scarpa Eds.),
Springer Proceedings in Mathematics & Statistics, 257,
111-130.
(article)
Under review