Data-driven spatio-temporal modelling of glioblastoma

no code implementations • 4 Oct 2022 • Andreas Christ Sølvsten Jørgensen, Ciaran Scott Hill, Marc Sturrock, Wenhao Tang, Saketh R. Karamched, Dunja Gorup, Mark F. Lythgoe, Simona Parrinello, Samuel Marguerat, Vahid Shahrezaei

Mathematical oncology provides unique and invaluable insights into tumour growth on both the microscopic and macroscopic levels.

S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data

1 code implementation • 5 Nov 2021 • Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou

We show that by including the labelling information, the projection of the samples improves drastically and it is accompanied by a strong classification performance.

Multi-view Data Visualisation via Manifold Learning

2 code implementations • 17 Jan 2021 • Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou

This manuscript proposes extensions of Student's t-distributed SNE (t-SNE), LLE and ISOMAP, for dimensionality reduction and visualisation of multi-view data.

Clustering Dimensionality Reduction