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_26
Snippet: Characterizing differential networks from network entropy. We constructed 32 destination networks with modules divided from monocyte low and high PBM networks. The characteristics of 32 networks are shown in Table â…¡ . The network entropy was ranged from -3.09 to 0.87 and the max value of network entropy of PBM was 0.87 in network 11. Among them, network 11 was the only significantly differential one with P-value of 0.047 (P<0.05). Fig. 1 shows .....
Document: Characterizing differential networks from network entropy. We constructed 32 destination networks with modules divided from monocyte low and high PBM networks. The characteristics of 32 networks are shown in Table â…¡ . The network entropy was ranged from -3.09 to 0.87 and the max value of network entropy of PBM was 0.87 in network 11. Among them, network 11 was the only significantly differential one with P-value of 0.047 (P<0.05). Fig. 1 shows the differential PBM network with 8 nodes and 28 edges. All genes belonged to precursors of osteoclasts, which were related to calcium transport as well as blood monocytes. It indicated that the network was a novel therapeutic indicator for osteoporosis during the bone monocyte processes.
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