Fig 1.
Gene dendrogram generated with WGCNA for (A) healthy samples and (B) T1D samples.
Each leaf (vertical lines) in the dendrogram corresponds to a gene.
Fig 2.
Dendrogram denoting modules in healthy network.
Modules are illustrated with different colors obtained with different module detection sensitivity parameter called deepSplit. Each row with colored set of modules is detected with a certain deepSplit (between 0 and 3). The number of modules and average size are: deepSplit 0 (modules: 31, average size: 379.58) deepSplit 1 (modules: 55, average size: 235.05) deepSplit 2 (modules: 84, average size: 163.98) deepSplit 3 (modules: 105, average size: 137.3).
Fig 3.
Visual representation of the changes in the module structure between (A) healthy network and (B) T1D network.
Table 1.
Resulting modules in healthy network compared to modules in T1D network.
Table 2.
Enrichment results from ConsensusPathDB.
Table 3.
Enrichment results from EnrichNet.
Table 4.
Betweenness centrality (BC) ranks for genes belonging to Royalblue module (in both healthy and T1D network).
Fig 4.
Royalblue module extracted from the healthy network.
Fig 5.
Royalblue module extracted from the T1D network.
Fig 6.
Functionally enriched KEGG pathways identified by ClueGO.
(A) The size of the nodes reflects significance of the term. Network includes genes that are shared between different KEGG pathways (B) Chart represents significant KEGG pathways where bars show number of genes associated to each term. Level of significance for terms is marked using 1) **; if the term is over-significant (p-value<0.001), 2) *; if the terms is significant (0.001<p-value<0.05), and 2). (dot); 0.05<p-value<0.01).