Abstract
Gene correlation networks were constructed for three species under various physiological states: normal soybean versus soybean with root rot disease, yeast grown anaerobically versus aerobically, and human prostate cancer versus healthy individuals, based on their respective gene expression profiles. Investigation of these networks using a cascading failure model revealed significant differences in dynamic stabilities across the different states. Structural key genes contributing to these differences were identified, and their biological functions were annotated. These key genes may play a role in the development of root rot disease in soybeans. This research elucidates the relevant functional mechanisms underlying these changes and provides a valuable tool for understanding the mechanisms of various life processes.
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