Entering edit mode
3.7 years ago
evelyn
▴
230
Hello,
I have made a heat map for module-trait relationship using WGCNA:
labeledHeatmap(Matrix = moduleTraitCor,
xLabels = colnames(datTraits),
yLabels = names(MEs),
ySymbols = names(MEs),
colorLabels = FALSE,
colors = greenWhiteRed(83),
textMatrix = textMatrix,
setStdMargins = FALSE,
cex.text = 0.5,
zlim = c(-1,1),
main = paste("Module-trait relationships"))
I have 50 traits in datTraits
and 90 modules. This code results in a messy plot because of large number of traits with so many p-values. Is there a way to modify this plot to make it look better in terms of text size and may be by only displaying significant p-values to make the plot look less messy.
Is there an automated way to filter modules with significant p-values as it is hard to go through this large data manually.
Thank you!