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. In addition, we use machine learning to prioritize biological experiments for drug discovery and other biomedical challenges.
In the Spring 2019 semester, we do not have any open positions for student researchers or postdocs.
In recent Spring semesters Anthony taught Advanced Bioinformatics.
In the Spring 2015 semester Anthony taught a special topics course on Cancer Bioinformatics.