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Technical University of Denmark, Dept. of Applied Mathematics and Computer Science
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Interpretable archetypes emerge from discrete data using a principled likelihood framework, unlocking insights in genomics and microbiome analysis previously inaccessible to standard AA.
Unlocking detailed brain tissue characterization from emission tomography data is now possible by accounting for temporal stretching and delays.