Connecting the dots: A Practical Guide to Computational Hypergraph Discovery
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This post introduces Computational Hypergraph Discovery (CHD), a novel method for uncovering unknown functional relationships between variables within datasets. We’ll demonstrate the CHD approach with a practical application, the Sachs Gene DataSet. To bridge the gap between the theory from our paper and practice, we provide code snippets that help translate the underlying mathematical principles into actionable steps for data analysis. Read more