Using probabalistic networks, the Lauffenburger Lab built a computational method that will help make sense of the vast amounts of data generated by genomic, proteomic, and other research approaches. Deployed in a Cell Systems study to model tuberculosis vaccines, researchers are currently using the approach to examine the tumor's microenvironment and its response to different therapies.