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The long-awaited first results from the Muon g-2 experiment at the U.S. Department of Energy’s Fermi National Accelerator Laboratory show fundamental particles called muons behaving in a way that is not predicted by scientists’ best theory, the standard model of particle physics. This landmark result, made with unprecedented precision, confirms a discrepancy that has been gnawing at researchers for decades.

Physicists at the University of Illinois Urbana-Champaign played a major role in producing the new result, which confirms the result from two decades ago: muons behave in a way that is not predicted by scientists’ best theory, the standard model of particle physics.

Using a novel integrative computational technique, scientists from Northwestern and the University of Illinois at Urbana-Champaign (UIUC) were able to classify disease conditions at the molecular level using epigenomic data sets, according to a recent study published in Cell Reports.

The new approach, collaboratively developed by the authors from Northwestern and UIUC, is called DeCET (Decomposition and Classification of Epigenomic Tensors); it analyzes complex, heterogeneous data to identify epigenomic differences between tissue types, disease subtypes, and changes in cell type, or cellular differentiation, explained Debabrata Chakravarti, PhD, vice chair for translational research and the Anna Lapham Professor of Obstetrics and Gynecology and lead author of the study.