Graph Neural Networks

Computational models have become essential tools for understanding signalling networks and their non-linear dynamics. However, these …

Computational models have become essential tools for understanding signalling networks and their non-linear dynamics. However, these models are typically constructed manually using prior knowledge and can be over-reliant on study bias. Scaling up the construction and analysisof models to take advantage of increasingly abundant ‘omics data can bridge these gaps by providing a comprehensive view of signalling events and how they influence cellular phenotypes.