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Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosis

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Academic year: 2017

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Figure 1 The degree distribution of nodes followed power law distribution. (A) Degree distribution of differentially expressed genes in CSF QQPPI network
Figure 2 QQPPI networks generation by mapping of differentially expression genes on PPI data
Table 2 Modularity analysis. The list of pathways enriched in modules for CSF (MS vs. controls).
Table 3 Modularity analysis. The list of pathways enriched in modules for PBMCs (relapse vs
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