scientific visualization

  1. RF-PHATE: Supervised AI Maps for High-Dimensional Biology Data

    Utah State University researchers and collaborators published RF-PHATE on June 30, 2026, in Nature Computational Science, presenting a supervised AI visualization method for interpreting high-dimensional biological datasets including multiple sclerosis progression, COVID-19 plasma profiles, lung...
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