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math.ST2026
Learning the Geometry of Data: A Mathematical Review of Shape Space Analysis
Gary P. T. Choi, Khanh Dao Duc, Shira Faigenbaum-Golovin +6
A central objective of machine learning is to identify structure and patterns in data. Advances in data acquisition have increasingly produced datasets whose observations possess r…
q-bio.GN2026
VeloTree: Inferring single-cell trajectories from RNA velocity fields with varifold distances
Elodie Maignant, Tim Conrad, Christoph von Tycowicz
Trajectory inference is a critical problem in single-cell transcriptomics, which aims to reconstruct the dynamic process underlying a population of cells from sequencing data. Of p…