Entering edit mode
18 months ago
Biologist
▴
290
I have a Seurat object data
which has identified seurat_clusters
. And there are two conditions treatment and notreatment
for this dataset.
I performed DEA between conditions in a specific cluster 3
using the FindMarkers
function from Seurat like the following:
## Get the cluster 3 cells
data2 <- subset(data, subset = RNA_snn_res.0.2 == 3)
Idents(data2) <- "Condition"
all.genes <- rownames(data2)
data2 <- ScaleData(data2, features = all.genes)
DEG <- FindMarkers(data2, ident.1 = "treatment", ident.2 = "notreatment", verbose = FALSE, logfc.threshold = 0, min.pct=0)
head(DEGs, n = 10)
Could you please tell me why pct.1 and pct.2 are 1 for all the genes above?
I know pct.1 and pct.2, my question is why there is 1 for all the genes of pct.1 and pct.2?