This is a past event
A series for Turing-Roche partnership updates, this event will be on the topic of mining higher-order triadic interactions.
Higher-order networks are attracting large scientific interest in recent years. However, a key challenge is to infer higher-order interactions from data. Triadic interactions are a fundamental type of higher-order interactions that occur when one node regulates the interaction between two other nodes. These interactions play a pivotal role in various domains, such as ecosystems, where one species can regulate the interaction between two species; neuronal networks, where glial cells regulate synaptic transmission between neurons, driving brain information processing; and gene regulation networks, where a modulator can either promote or silence the interaction between a transcription factor and a target gene. Despite the increasing attention given to the inference of higher-order interactions, information theory approaches to infer triadic interactions remain lacking.
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External event: The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk).