Detect_single_marker_all | R Documentation |
Detect single markers of all cell groups
Detect_single_marker_all( scrna, step = 0.1, slot = "data", category = NULL, clusters_to_detect = NULL, geneset = NULL, assay = "RNA", do.fast = F, min.pct = 0.15, min.fc = 0.25, use.all = F, do.f1score = F, pseudo.count = 0.01, min.tnr = 0.65, org = "mouse", self.db = NULL, self.db.only = F, ... )
scrna |
seurat obj to be used |
step |
quantile steps |
slot |
indicate the slot of data to compute |
clusters_to_detect |
set of clusters for compupation |
geneset |
custom genes to test |
assay |
indicate the assay to compute |
min.pct |
only test genes that are detected in a minimum fraction of cells in interested cell types. Default is 0.15 |
use.all |
Don't do any filter on input geneset |
org |
Choose database for human or mouse |
self.db |
self defined antibody database |
self.db.only |
Bolean. Only use the self deifned antibody database or not |
id |
interested cell group |
test.use |
Denotes which test to use. Available options are:
|
list of markers performance
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