Combining clusters--differential gene expression analysis

[emj464]

Hi,

I want to perform differential gene expression analysis on a certain cell type. In the UMAP created, this cell type is represented by two clusters. What is the best way to compare these two clusters to all other cell types in the dataset?

Right now what I've done is MCbtoEV.markers <- FindMarkers(all,
ident.1= c("178", "174"),
ident.2= NULL,
only.pos = FALSE,
min.pct = 0.25,
logfc.threshold = log(0.5))

Which just lists both clusters under ident.1. Is this correct or is there a better way to merge the clusters prior to performing differential gene expression analysis? Thanks!