Ali Shojaie, University of Washington

Friday, May 6, 2022

Differential Network Analysis 

Abstract:   Networks effectively capture interactions among components of complex systems, and have thus become a mainstay in many scientific disciplines. Growing evidence, especially from biology, suggest that networks undergo changes over time, and in response to external stimuli. In biology and medicine, these changes have been found to be predictive of complex diseases. They have also been used to gain insight into mechanisms of disease initiation and progression. We present a new procedure for identifying local differences in network structures as well as extensions to account for additional covariates when performing differential networks analysis.

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