View source: R/FindFilteredMarkers.R
FindFilteredMarkers | R Documentation |
Used to filter candidate marker genes for a subcluster Seurat object. Prevents markers from being chosen if they are highly expressed in other celltypes.
FindFilteredMarkers(
obj.1 = NULL,
obj.2 = NULL,
ident.1 = "seurat_clusters",
ident.2 = "seurat_clusters",
de.method = "wilcox",
fdr.cutoff = 0.05,
log2fc.cutoff = 0.25,
perc.cutoff = 0.9,
extra.cell.filter = NULL
)
obj.1 |
The object containing clusters that you want marker genes for. Defaults to NULL. |
obj.2 |
The object containing reference data against which we'll filter the markers in |
ident.1 |
The group identifier for |
ident.2 |
The group identifier for |
de.method |
The differential expression method used in |
fdr.cutoff |
The cutoff used to remove DE genes with non-significant adjusted p-values. Defaults to 0.05. |
log2fc.cutoff |
The log2FC cutoff used, in part, to determine whether a gene is differentially expressed. Defaults to 0.25. |
perc.cutoff |
The percentile cutoff used to find highly expressed genes in other cluster. Defaults to 0.9. |
extra.cell.filter |
An optional list of extra cells to filter out of |
A data.frame of markers for each cluster in obj.1
filtered by genes considered highly expressed in clusters in obj.2
.
Jack Leary
FindSpecificMarkers
FindAllMarkers
## Not run:
FindFilteredMarkers(obj.1 = subclust_obj,
obj.2 = full_obj,
ident.1 = "label",
ident.2 = "seurat_clusters")
FindFilteredMarkers(obj.1 = subclust_obj,
obj.2 = full_obj,
de.method = "t",
fdr.cutoff = 0.01,
log2fc.cutoff = 1,
perc.cutoff = 0.95)
## End(Not run)
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