Open PRAIRIE: Open Public Research Access Institutional Repository and Information Exchange
Abstract
We establish the genes correlation networks of three species under different physiological states, normal soybean and those with root rot disease, anaerobic and aerobic growth of yeast and prostate cancer of human, based on the gene expression profiles. After investigating these networks using a cascading failure model, we find that the dynamic stability of the networks under different states differ significantly. Furthermore, the structural key genes which contribute greatly to these differences are identified. Finally, the biological functions of the key genes which may result in the root rot disease of soybean are annotated. This helps to reveal the relevant functional mechanisms that might be responsible for the changes and thus provides a useful tool toward understanding the mechanisms of various life processes
