Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies

In a paper in Cell Systems, Sushmita Roy and colleagues develop a probabilistic graphical model-based method, multi-species regulatory network learning that uses a phylogenetic framework to infer regulatory networks in multiple species simultaneously.

Catching up: UW-Madison, Sheriff’s Office team up to study 3-D crime-scene tools

Kevin Ponto, a Principal Investigator in the Living Environments Lab is partnering with the Dane County Sheriff’s Office on a two-year, federally funded study to measure the effectiveness of virtual reality tools and 3-D-capture technology on crime scene investigations.

Understanding the Immune System with Machine Learning

Systems Biology researchers Deborah Chasman and Sushmita Roy are using machine learning to identify virus and pathogenicity-specific regulatory networks which may guide the design of effective therapeutics for infectious diseases. The work is described in a recent paper in PLOS Computational Biology.