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Table 2 WGCNA Results with Dynamic Tree Cut Algorithm: deepSplit provides a rough control over the sensitivity to cluster splitting. The higher the value (or if TRUE), the more and smaller clusters will be produced. The Dynamic Tree Cut may identify modules whose expression profiles are very similar. The parameter minClusterSize allows one to control the minimum number of genes in a module, helping to avoid having similar clusters of few genes. As shown in the table, the lower values of minClusterSize increase the ‘Total Number of Modules’. Moreover, as this number increases, the ‘Number of Genes in Unassigned Module (Grey)’ increases as well

From: Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice

WGCNA Results
minClusterSizedeepSplitTotal Number of ModulesNumber of Genes in Unassigned Module (Grey)
227036
324937
423746
523149
622557
722060
821861
921765
1021567
1121567
1221169
1321169
142973