no code implementations • 10 Aug 2023 • Jingjie Yang, Heidi Fang, Jagdeep Dhesi, Iris H. R. Yoon, Joshua A. Bull, Helen M. Byrne, Heather A. Harrington, Gillian Grindstaff
We find additionally that dimension 0 persistence applied to macrophage data, representing multi-scale clusters of the spatial arrangement of macrophages, performs best at this classification task at early time steps, prior to full tumour development, and performs even better when time-dependent data are included; in contrast, topological measures capturing the shape of the tumour, such as tortuosity and punctures in the cell arrangement, perform best at intermediate and later stages.