ABSTRACT
Increasing interest in biological network inference stems from the emergence of a new era of high-throughput measurement and systems biology subsequent to the human genome project completion in 2000 [159, 217]. Systems biology consists of the computational and mathematical modeling of complex biological systems. It is an interdisciplinary field of study that uses a more holistic approach as compared to the more traditional reductionist techniques of biological research. A much different engineering approach to biological research can be followed now because inference of biological networks by reverse engineering has the potential to deliver a far greater understanding of various complex biological systems.
