Entering edit mode
3.0 years ago
almogangel
•
0
Dear all,
I have a Seurat object of a certain cell type with a UMAP of 7 clusters. I also have information about the sample's origin (primary tumor/metastatic) in my metadata.
Looking at the UMAP I can clearly see that clusters 1 and 5 correspond to metastatic and the other to primary. I wonder if this is the correct way to identify markers genes for those groups:
FindConservedMarkers(nsclc.mac, ident.1 = c(1,5), ident.2 = c(2,3,4,6,7), grouping.var = "stage")
Thanks!
Hi,
Yes, it sounds good to me, if your aim is to find the conserved markers between metastatic clusters (1 and 5) and the remaining clusters (2,3,4,6,7) across the
grouping.var
stage
.Other similar functions exist to find
differentially expressed genes
between sets of class identities as described in this post: FindConservedMarkers vs FindMarkers vs FindAllMarkers SeuratAntónio