View source: R/scPathogenDGE.R
scPathogenDGE | R Documentation |
Find differentially expressed genes by species for each clusters
scPathogenDGE(
object = NULL,
species.by = NULL,
clusters = NULL,
min.cells = 20,
min.pct = 0.1,
logFC = 0.25
)
object |
Seurat object |
species.by |
String of species to divid cells into two groups (Positive / Negative) |
clusters |
Clusters specified for DGE, default clusters=NULL, means all clusters will be evaluated |
min.cells |
Minimum number of cells for DGE in any of the two groups, default min.cells=20 |
min.pct |
Genes expressed in any of the two groups with a minium cell fraction (min.pct) are reserved for DGE, default min.pct=0.1 |
logFC |
A positive value to set the cutoff of logFC, default logFC=0.25 |
DGE table
Inspired by Stuart and Butler et al, Cell (2019)
data("H3N2_small")
x <- scPathogenDGE(object = H3N2_small,
species.by = "H3N2",
min.cells = 5,
min.pct = 0.1,
logFC = 0.25,
)
head(x)
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