3 papers
math.GT2025
Data Driven Perspectives on Knot Theory
Pawel Dlotko, Davide Gurnari, Radmila Sazdanovic
Data science offers a powerful tool to understand objects in multiple sciences. In this paper we utilize concept of data science, most notably topological data analysis, to extend…
cs.CG2024
ClusterGraph: a new tool for visualization and compression of multidimensional data
PaweÅ DÅotko, Davide Gurnari, Mathis Hallier +1
Understanding the global organization of complicated and high dimensional data is of primary interest for many branches of applied sciences. It is typically achieved by applying di…
q-bio.GN2024
Probing omics data via harmonic persistent homology
Davide Gurnari, Aldo Guzmán-Sáenz, Filippo Utro +3
Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high dimensional multi-omics d…