2 citations · 3 across the 9 of their papers we have counts for
9 papers
Topological Inference for Organoids
Haochen Yang, Byung Ho Lee, Anne Grapin-Botton +2
The reproducibility of organ morphology and the extent to which computational models can predict morphogenesis remain difficult to quantify, particularly for organs with complex ne…
Tensor analysis for lipid transport
Ilaria Pellegrinelli, Vincenzo Galgano, Mathilda Lennartz +2
High-dimensional biological datasets with molecular, spatial, and temporal dimensions are increasingly common. However, their analysis requires approaches that can integrate multip…
Topology of Multi-species Localization
Abhinav Natarajan, Thomas Chaplin, Joshua A. Bull +5
Spatial relationships in multi-species data can indicate and affect system outcomes and behaviors, ranging from disease progression in cancer to coral reef resilience in ecology; t…
Topological shape transform for thymus structures
Haochen Yang, Vadim Lebovici, Andreas Tarcevski +5
The Euler characteristic transform (ECT) is an emerging and powerful framework within topological data analysis for quantifying the geometry of shape. The applicability of ECT has…
TopROI: A topology-informed network approach for tissue partitioning
Sergio Serrano de Haro Iváñez, Joshua W. Moore, Lucile Grzesiak +4
Mammalian tissue architecture is central to biological function, and its disruption is a hallmark of disease. Medical imaging techniques can generate large point cloud datasets tha…
Topological model selection: a case-study in tumour-induced angiogenesis
Robert A McDonald, Helen M Byrne, Heather A Harrington +2
Comparing mathematical models offers a means to evaluate competing scientific theories. However, exact methods of model calibration are not applicable to many probabilistic models…
Persistent homology classifies parameter dependence of patterns in Turing systems
Reemon Spector, Heather A. Harrington, Eamonn A. Gaffney
This paper illustrates a further application of topological data analysis to the study of self-organising models for chemical and biological systems. In particular, we investigate…
Algebraic identifiability of partial differential equation models
Helen Byrne, Heather Harrington, Alexey Ovchinnikov +3
Differential equation models are crucial to scientific processes. The values of model parameters are important for analyzing the behaviour of solutions. A parameter is called globa…
Differential Algebra for Model Comparison
Heather A. Harrington, Kenneth L. Ho, Nicolette Meshkat
We present a method for rejecting competing models from noisy time-course data that does not rely on parameter inference. First we characterize ordinary differential equation model…