Closed hoelzer closed 2 years ago
see also #86 this tool also implements UpSet plots as it seems
@hoelzer Just to make sure I understand this correctly, for the UpSet plots we then are interested in the intersection of e.g. feature counts / expression above a certain threshold over the different contrasts? Or more the intersection of features in pathway groups? Or something else?
Hi @fischer-hub !
Yes exactly the first one. So the idea would be that we select significant DEGs based on some default thresholds, for example adj-p-value < 0.05 and log2FC > 1 for each contrast. Now, lets say we have three contrasts:
a) Mock b) Ebola-infected c) Marburg-infected
and do all pairwise comparisons that yield a certain number n
of DEGs:
a-vs-b, n=50
a-vs-c, n=40
b-vs-c, n=10
Now, these three lists of gene IDs can be fed into UpSetR.
Does this make sense? The nice thing is, that this allows for multiple contrasts.
I have example code here for UpSetR: https://github.com/hoelzer/visual
Ah okay! Great now its more clear to me, thx!
https://github.com/hms-dbmi/UpSetR
Cool instead of Venn diagrams