Author: Ma, Lili; Du, Hongmei; Chen, Guangdong
Title: Differential network as an indicator of osteoporosis with network entropy Document date: 2018_5_16
ID: 61t686w7_25
Snippet: We used the expression profile data to construct PPINs for the low and high PBM group, respectively. Based on merging highly overlapping cliques, we captured the effect of differences in interaction weights between monocyte low and high PBM group via the weighted density-based ranking of cliques. After the simplification of the modules, 19 modules in low PBM network and 38 in high PBM network were obtained. Then module correlation density was cal.....
Document: We used the expression profile data to construct PPINs for the low and high PBM group, respectively. Based on merging highly overlapping cliques, we captured the effect of differences in interaction weights between monocyte low and high PBM group via the weighted density-based ranking of cliques. After the simplification of the modules, 19 modules in low PBM network and 38 in high PBM network were obtained. Then module correlation density was calculated to identify sets of disrupting or altering module pairs between the two networks. A total of 66 modules were identified by modeling it as a maximum weight bipartite matching.
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