Closed denvercal1234GitHub closed 1 year ago
features = ...
argument simply says which NRS to compute & plot. Scores won't change, however, regardless of what you include or not (the cluster assignments are not being used / don't need to exist at this point!).CATALYST
have an argument k
to specify which clustering to use. So you'd want to set k = "meta20"
, for example.Thank you very much for your response! It is very useful. For Q2, just so I understand it correctly, k="meta20"
is available for all plotting functions, except for plotNRS()
, because only color_by
is available for plotNRS
and not k
.
So if I want to plot NRS scores for a select group of clusters after clustering, I will need to just subset those clusters, then run plotNRS()
on the resulting subsetted sce object, right?
Thank you again for your help.
Yes, that’s all correct!
Hi there,
Thank you again for the package. It contain very useful QC functions!
I was hoping to get some clarification on the function
plotNRS()
.When I used a subset of markers to do the clustering, and I set
features = markers_used_for_clustering
, I will get NRS scores for these clustering markers. But, if I used a subset of markers to do the clustering, and now I setfeatures = NULL
, do the NRS scores produced byplotNRS()
for the markers that were not used for clustering still represent these not-selected-for-clustering markers' contribution to the resulting clusters?When I set
color_by = "cluster_id"
,plotNRS()
produces NRS scores for each cell coloured by cluster IDs of 100 groups. Would you mind giving me some suggestions on how to plot NRS scores for the number of clusters at the meta clustering level instead?Thank you for your help!