Introduction
An event series for Turing-Roche partnership updates, knowledge sharing and new perspectives. Find out more about the series.
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.
About the event
We will be hearing from Anthony Baptista, Postdoctoral Research Associate with the Turing-Roche Partnership and Queen Mary University of London. Anthony will introduce his recent work, proposing a novel information-theoretic approach to quantify triadic interactions in missing data that is structured in some way ('structured missingness'). This approach unveils the underlying multivariate relationships between missing values, making triadic interactions a fundamental way for quantifying the higher-order organisation of structured missingness in datasets where data is missing non-randomly. Furthermore, the method enables the mining of triadic interactions in gene expression data, identifying both known triadic interactions and new candidate triplets. In the future, the method could be applied to other type of data including times series which can be relevant for climate research.
Watch now
You can watch a recording of this event here.
