19 citations · 23 across the 8 of their papers we have counts for
11 papers
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
Andrew Golightly, Sarah E. Heaps, Chris Sherlock +2
The ensemble Kalman filter (EnKF) is a popular technique for performing inference in state-space models (SSMs), particularly when the dynamic process is high-dimensional. Unlike re…
Reaction-diffusion models of invasive tree pest spread: quantifying the expansion of oak processionary moth in the UK
Jamie P. McKeown, Laura E. Wadkin, Nick G. Parker +2
UK woodlands, forests, and urban treescapes are under threat from invasive species, exacerbated by climate change, trade, and transport. Invasive tree pests debilitate their host a…
Accelerating Bayesian inference for stochastic epidemic models using incidence data
Andrew Golightly, Laura E. Wadkin, Sam A. Whitaker +3
We consider the case of performing Bayesian inference for stochastic epidemic compartment models, using incomplete time course data consisting of incidence counts that are either t…
A mathematical modelling framework for the regulation of intra-cellular OCT4 in human pluripotent stem cells
L E Wadkin, S Orozco-Fuentes, I Neganova +3
Human pluripotent stem cells (hPSCs) have promising clinical applications in regenerative medicine, drug-discovery and personalised medicine due to their potential to differentiate…
An introduction to the mathematical modelling of iPSCs
Laura E Wadkin, Sirio Orozco-Fuentes, Irina Neganova +3
The aim of this chapter is to convey the importance and usefulness of mathematical modelling as a tool to achieve a deeper understanding of stem cell biology. We introduce key math…
OCT4 expression in human embryonic stem cells: spatio-temporal dynamics and fate transitions
Laura E Wadkin, Sirio Orozco-Fuentes, Irina Neganova +5
The improved in-vitro regulation of human embryonic stem cell (hESC) pluripotency and differentiation trajectories is required for their promising clinical applications. The tempor…
The recent advances in the mathematical modelling of human pluripotent stem cells
L E Wadkin, S Orozco-Fuentes, I Neganova +3
Human pluripotent stem cells hold great promise for developments in regenerative medicine and drug design. The mathematical modelling of stem cells and their properties is necessar…
Quantification of the morphological characteristics of hESC colonies
Sirio Orozco-Fuentes, Irina Neganova, Laura E. Wadkin +5
The maintenance of the pluripotent state in human embryonic stem cells (hESCs) is critical for further application in regenerative medicine, drug testing and studies of fundamental…
Seeding hESCs to achieve optimal colony clonality
Laura E Wadkin, Sirio Orozco-Fuentes, Irina Neganova +5
Human embryonic stem cells (hESCs) and induced pluripotent stem cells (iPSCs) have promising clinical applications which often rely on clonally-homogeneous cell populations. To ach…
Correlated random walks of human embryonic stem cell in-vitro
L E Wadkin, S Orozco-Fuentes, I Neganova +5
We perform a detailed analysis of the migratory motion of human embryonic stem cells in two-dimensions, both when isolated and in close proximity to another cell, recorded with tim…
Dynamics of single human embryonic stem cells and their pairs: a quantitative analysis
L. E. Wadkin, L. F. Elliot, I. Neganova +6
Numerous biological approaches are available to characterise the mechanisms which govern the formation of human embryonic stem cell (hESC) colonies. To understand how the kinematic…