Our lab’s research involves designing algorithms that leverage biological networks to connect different types of experimental data and detect surprising relationships among them. We use such techniques to study human disease, in particular cancer and viral infection. We also focus on the dynamic behaviors of biological networks and develop techniques to reconstruct dynamic models of signaling pathways and transcriptional regulatory networks from high-throughput proteomic and transcriptomic data.
Updates from the Lab
Our pathway parameter advising method for improving biological pathway reconstruction has been published.
The first of our review articles on COVID-19 is now available on arXiv. This one focuses on pathogenesis and is one part of a larger collaborative review written with Manubot.
Moayad successfully defended his PhD dissertation! Congratulations!
Anthony is an assistant professor in the Department of Biostatistics and Medical Informatics and affiliate faculty in the Department of Computer Sciences at the University of Wisconsin-Madison as well as an investigator at the Morgridge Institute for Research. He is a member of the UW Carbone Cancer Center Cancer Genetic and Epigenetic Mechanisms Scientific Program and the UW Epigenetics Program as well as a faculty trainer in the Computation and Informatics in Biology and Medicine, Genomic Sciences, and Bio-Data Science training programs.