3 papers
stat.ME2025
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
Andrea Sottosanti, Davide Risso, Francesco Denti
Spatial transcriptomics measures the expression of thousands of genes in a tissue sample while preserving its spatial structure. This class of technologies has enabled the investig…
stat.ME2021
Co-clustering of Spatially Resolved Transcriptomic Data
Andrea Sottosanti, Davide Risso
Spatial transcriptomics is a modern sequencing technology that allows the measurement of the activity of thousands of genes in a tissue sample and map where the activity is occurri…
stat.AP2021
Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering
Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale +4
The light we receive from distant astrophysical objects carries information about their origins and the physical mechanisms that power them. The study of these signals, however, is…