Fig. 4: Comparative studies with BWS and nonBWS transcriptome data using WGCNA. | British Journal of Cancer

Fig. 4: Comparative studies with BWS and nonBWS transcriptome data using WGCNA.

From: Cancer predisposition signaling in Beckwith-Wiedemann Syndrome drives Wilms tumor development

Fig. 4

Heat map of correlation between the gene modules (MEgrey, MEpink, MEmidnightblue, MEdarkred, MEgreen, MEbrown, MEyellow, MEgreenyellow, MEtan, MEsalmon, MEdarkorange, MEdarkgrey, MEorange, MElightgreen, MEpurple, MEdarkturquoise, MEcyan, MEblack, MEdarkgreen, MEroyalblue, MElightcyan, MEred, MEblue, MEturquoise,MElightyellow, MEgrey60, MEmagenta) and clinical traits of WT patients. The correlation coefficient in each cell represents the correlation between the gene modules and clinical traits, which decreases in size from red to blue. (*p-value < 0.05, **p-value < 0.005, ***p-value < 0.0005). The turquoise, salmon, tan, and gray show significant relations to BWS-WT sample traits; darkgreen showed significant relations to normal-11p15 nonBWS-WT and blue, turquoise showed significant relations to altered-11p15 nonBWS-WT.

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