Differential network as an indicator of osteoporosis with network entropy

Ma, Lili; Du, Hongmei; Chen, Guangdong

Research in systems biology has shown that variety in the activity of gene network and frame structure play an important role in the disease progression (11, 12) . Network-based systems biology approaches have emerged as powerful tools for analysis of molecular mechanisms of diseases (13) (14) (15) (16) . An integrated network method was applied to predict conserved regulators related to high and low viral pathogenicity, leading to therapeutic targets for intervention (17) . In addition, recent study confirmed that signaling entropy computable from integrating a gene expression profile with a protein-protein interaction network (PPIN), correlate with phenotypic plasticity and is increased in disease compared to normal controls (18) . Based on information theory, entropy opens new perspectives for gene inference methods and increases the accuracy of PPINs (19) . Jin et al (20) compared the IAV-induced inflammatory regulatory networks and normal cellular networks by integrating the data from the highly pathogenic avian H5N1 and the pandemic H1N1 with PPINs, and these findings provide significant hypotheses for further exploring the molecular mechanisms of infectious diseases and developing control strategies.