Cari Colleghi, A seguire annuncio presso il Politecnico di Milano Davide Risso, Università degli Studi di Padova 18.11.26 ore 14:30 – Aula Saleri, Dipartimento di Matematica, Politecnico di Milano Link: https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=27... Titolo: SLICE: spatial latent inference of common expression profiles Abstract: Spatial transcriptomics has revolutionized our ability to measure gene expression within intact tissues at single-cell and subcellular resolution. In practice, gene expression patterns may occur at different resolutions: some genes follow broad spatial trends across the tissue, whereas others show more localized patterns associated with specific regions, cell populations, or microenvironments. In this talk, I will present SLICE, a Bayesian model that jointly represents spatial and latent sources of variation. The model combines a multiscale spline representation of spatial coordinates with a low-rank latent component and a Bayesian hierarchy for recurrent gene-specific spatial profiles. For scalability, inference uses stochastic variational methods, with automatic differentiation and GPU acceleration. This is joint work with Alex Cecchetto and Francesco Denti. Un caro saluto, Laura —— Laura Maria Sangalli MOX - Dipartimento di Matematica Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano - Italy (+39) 02 2399 4554 laura.sangalli@polimi.it https://sangalli.faculty.polimi.it