Selected article for: "high pbm and module identification"

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_9
    Snippet: Based on clique-merging, module-identification algorithm was used to identify modules from PPINs (23) (24) (25) . We found all maximal cliques from low and high PBM PPIN, and the nodes <4 or >20 were filtered out. Then 8,002 maximal cliques in osteoporosis were obtained......
    Document: Based on clique-merging, module-identification algorithm was used to identify modules from PPINs (23) (24) (25) . We found all maximal cliques from low and high PBM PPIN, and the nodes <4 or >20 were filtered out. Then 8,002 maximal cliques in osteoporosis were obtained.

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