943 citations · 1.2k across the 6 of their papers we have counts for
6 papers
Ordered Diffusion Kernels
Jack H. Soulsby, Andreas C. S. Jørgensen, Atiyo Ghosh +1
We introduce Ordered Diffusion Kernels (ODKs), a novel class of local kernels that can approximate the infinitesimal generator of an arbitrary Itô Stochastic Differential Equation…
Data-driven spatio-temporal modelling of glioblastoma
Andreas Christ Sølvsten Jørgensen, Ciaran Scott Hill, Marc Sturrock +7
Mathematical oncology provides unique and invaluable insights into tumour growth on both the microscopic and macroscopic levels. This review presents state-of-the-art modelling tec…
S-multi-SNE: Semi-Supervised Classification and Visualisation of Multi-View Data
Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou
An increasing number of multi-view data are being published by studies in several fields. This type of data corresponds to multiple data-views, each representing a different aspect…
Multi-view Data Visualisation via Manifold Learning
Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou
Non-linear dimensionality reduction can be performed by \textit{manifold learning} approaches, such as Stochastic Neighbour Embedding (SNE), Locally Linear Embedding (LLE) and Isom…
Analytical distributions for stochastic gene expression
Vahid Shahrezaei, Peter S. Swain
Gene expression is significantly stochastic making modeling of genetic networks challenging. We present an approximation that allows the calculation of not only the mean and varian…
Colored extrinsic fluctuations and stochastic gene expression
Vahid Shahrezaei, Julien F Ollivier, Peter S Swain
Stochasticity is both exploited and controlled by cells. Although the intrinsic stochasticity inherent in biochemistry is relatively well understood, cellular variation, or 'noise'…