Closed DillonHammill closed 4 years ago
You are right, the cell count will be the same (but apparently %
will be different), It's up to you to decide where to put the bool node (whichever makes more sense semantically I guess)
Thanks for confirming this @mikejiang, I guess anchoring the boolean node close to the relevant nodes in the gating tree make sense as this will change the order of the nodes in gs_get_pop_paths()
.
Hope you don't mind me asking another question about booleanFilters
. So the booleanFilter constructor expects an expression, in the docs the example wraps the entire expression (replaced back ticks with single quotes here so that you can see it) booleanFilter('4+/TNFa+&!4+/IL2+')
whilst in the docs for gs_pop_add()
each side of the expression is wrapped separately booleanFilter('CD15 FITC-CD45 PE+'|'CD15 FITC+CD45 PE-')
. Just wondering what the difference is? I first thought it may be the special characters but both expressions contain the same special characters. I actually tried both ways with the above case but only wrapping the entire expression seemed to work.
Thanks for your help!
You misread the doc, it is back ticks ~booleanFilter(`CD15 FITC-CD45 PE+`|`CD15 FITC+CD45 PE-`)
~
Yes that is what I meant, I just used single quotes above because I could not get the back ticks to display correctly.
You are right, The entire expression should be enclosed by single pair of back ticks.
i.e. booleanFilter(`CD15 FITC-CD45 PE+|CD15 FITC+CD45 PE-`)
I fixed the doc.
Thanks @mikejiang.
Hi @mikejiang & @jacobpwagner,
I was hoping that you may be able to help me understand how AND/OR boolean gates that refer to multiple distinct nodes are handled. For example, if I wanted to add an OR boolean gate to capture the
CD4 T Cells
andCD8 T Cells
below:My understanding is that the parental node to which the boolean gate is applied is irrelevant right? It simply provides a way to anchor the node to the gating tree, is that correct? If this is the case, should they just be added to the
root
node by default or if not, what is the best way to decide on the parental node to use (perhaps the most recent common ancestor - T Cells in this case)?I just want to make sure that I implement this correctly in CytoExploreR.