Comments (2)
This is because in the dotplot
only significant gene sets are plotted; and the significance in both your analyses are based on the value of p.adjust
.
In your first code chunk, in which you called the gseKEGG
function, you did NOT specify the argument pAdjustMethod
, only pvalueCutoff = 0.05
. Since by default pAdjustMethod = "BH"
, significance is thus based on Benjamini-Hochberg adjusted p-values (i.e. column p.adjust
), and thus not the 'raw' p-values (column pvalue
). Note that the qvalue
is another, related metric!
As you can see, in your enrichKEGG
result there is only 1 gene set that has a value of p.adjust
that is smaller than 0.05! Namely: 0.007217305
.
The same applies to your enrichGO
analysis; you set indeed the argument pAdjustMethod = "BH"
, and as cutoff value pvalueCutoff = 0.05
. Only 1 gene set has p.adjust
<0.05, namely 0.04818641
.
So: either set the argument pAdjustMethod
to "none"
, or increase the value of the argument pvalueCutoff
.
From ?enrichKEGG
: pAdjustMethod -- one of "holm", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr", "none"
.
from enrichplot.
Ok I see, I had previously thought that dotplot was only relevant to kk.negative@result results, thank you!
from enrichplot.
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