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Found 3 papers, 3 papers with code
Probing omics data via harmonic persistent homology
Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high dimensional multi-omics data.
Euler Characteristic Curves and Profiles: a stable shape invariant for big data problems
While being a weaker invariant in one dimension, we show that Euler Characteristic based approaches do not possess some handicaps of persistent homology; we show efficient algorithms to compute them in a distributed way, their generalization to multifiltrations and practical applicability for big data problems.
Mapper-type algorithms for complex data and relations
Mapper and Ball Mapper are Topological Data Analysis tools used for exploring high dimensional point clouds and visualizing scalar-valued functions on those point clouds.
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