Aerial view of U-M Health and surrounding in Ann Arbor, Michigan.
Systems Biology & Networks Analysis

With “systems biology,” DCMB scientists seek to understand the larger picture—be it at the level of the organism, tissue, or cell—by putting its pieces together.

Combining experimental biology with computational modeling, simulation and bioinformatics, systems biology aims to understand how a biological system (cells, organs, an organism, or a population of organisms) functions, based on our understanding of its components and the understanding that “the whole is larger than the sum of the parts.” As a component of systems biology, network analysis applies theories that have been developed in the study of computer networks, social networks and physical networks to biological systems, to generate predictive models of the behavior of biological systems.

This area of research overlaps with Multi-omics.

The following DCMB and CCMB faculty members work in this area. 
Associated Faculty
portrait of Anne Draelos Anne Draelos, PhD
Assistant Professor of Biomedical Engineering, Medical School
College of Engineering and Assistant Professor of Computational Medicine and Bioinformatics, Medical School
Guan-Yuanfan.jpg Yuanfang Guan, PhD
Professor of Computational Medicine and Bioinformatics
Professor of Internal Medicine, Medical School
Alla Karnovsky Alla Karnovsky, PhD
Program Director, Bioinformatics Master's Program
Associate Professor of Computational Medicine and Bioinformatics, Medical School
Indika Rajapakse Indika Rajapakse, PhD
Professor of Computational Medicine and Bioinformatics
Medical School
Professor of Mathematics
College of Literature, Science, and the Arts
portrait of Arvind Rao Arvind Rao, PhD
Professor of Computational Medicine and Bioinformatics
Professor of Radiation Oncology
Medical School
Professor of Biostatistics
School of Public Health
Wang-Meng.jpeg Meng Wang, PhD
Assistant Professor of Computational Medicine and Bioinformatics
Medical School