1.6k citations · 2.3k across the 32 of their papers we have counts for
34 papers
Hypergraph Animals
Michael P. H. Stumpf
Here we introduce simple structures for the analysis of complex hypergraphs, hypergraph animals. These structures are designed to describe the local node neighbourhoods of nodes in…
Hypergraphs for multiscale cycles in structured data
Agnese Barbensi, Iris H. R. Yoon, Christian Degnbol Madsen +3
Scientific data has been growing in both size and complexity across the modern physical, engineering, life and social sciences. Spatial structure, for example, is a hallmark of man…
Open Problems in Mathematical Biology
Sean T. Vittadello, Michael P. H. Stumpf
Biology is data-rich, and it is equally rich in concepts and hypotheses. Part of trying to understand biological processes and systems is therefore to confront our ideas and hypoth…
A group theoretic approach to model comparison with simplicial representations
Sean T. Vittadello, Michael P. H. Stumpf
The complexity of biological systems, and the increasingly large amount of associated experimental data, necessitates that we develop mathematical models to further our understandi…
Julia for Biologists
Elisabeth Roesch, Joe G. Greener, Adam L. MacLean +4
Increasing emphasis on data and quantitative methods in the biomedical sciences is making biological research more computational. Collecting, curating, processing, and analysing la…
Bayesian and Algebraic Strategies to Design in Synthetic Biology
Robyn P. Araujo, Sean T. Vittadello, Michael P. H. Stumpf
Innovation in synthetic biology often still depends on large-scale experimental trial-and-error, domain expertise, and ingenuity. The application of rational design engineering met…