Fig. 9
From: Network-based cancer genomic data integration for pattern discovery
Biological function analysis of the identified ten differentially co-expressed miRNA-gene modules by SNSVD with σ=60. A For each module, the distribution (pink area) is fitted based on the absolute values of all the elements in the differentially co-expressed matrix X, and the distribution (light blue area) is fitted based on the absolute values of the elements from the module corresponding submatrix in X. P-values were computed by using permutation test. B For each module, “Average of adPCC” is the average of the absolute values of the elements from the module corresponding submatrix in X. “#Gene edges”, “#Cancer gene”, “#Cancer miRNA”, “#KEGG pathways” and “#GOBP pathways” represent the number of interaction edges, cancer genes, cancer miRNAs, significantly enriched KEGG pathways and GO BP pathways (Benjamini-Hochberg adjusted p<0.05), respectively