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- W2950798757 abstract "We investigate the application of mesoscopic response functions (MRFs) to characterise a large set of of fungi and slime moulds grown under a wide variety of different experimental treatments, including inter-species competition and attack by fungivores. We construct structural networks by estimating cord conductances (which yield edge weights) from the experimental data, and we construct functional networks by calculating edge weights based on how much nutrient traffic is predicted to occur on each edge. Both types of have the same topology, and we compute MRFs for both families of to illustrate two different ways of constructing taxonomies to group the biological into related clusters. Although both network taxonomies generate intuitively sensible groupings of across species, treatments, and laboratories, we find that clustering using the functional-network measure appears to give more parsimonious groups. We argue that MRFs provide a useful quantitative measures of network behaviour that can help to summarise an expanding set of increasingly complex experimental biological and to present the information in an accessible form." @default.
- W2950798757 created "2019-06-27" @default.
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- W2950798757 date "2014-06-23" @default.
- W2950798757 modified "2023-09-27" @default.
- W2950798757 title "Mesoscale Analyses of Fungal Networks" @default.
- W2950798757 hasPublicationYear "2014" @default.
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