ssc.clusterMarkerGene | R Documentation |
identify marker genes of each cluster
ssc.clusterMarkerGene( obj, assay.name = "exprs", ncell.downsample = NULL, group.var = "majorCluster", batch = NULL, assay.bin = NULL, out.prefix = NULL, n.cores = NULL, do.plot = T, F.FDR.THRESHOLD = 0.01, pairwise.P.THRESHOLD = 0.01, pairwise.FC.THRESHOLD = 1, use.Kruskal = F, method.Max = "mean", do.force = F, verbose = F, ... )
obj |
object of |
assay.name |
character; which assay (default: "exprs") |
ncell.downsample |
integer; for each group, number of cells downsample to. (default: NULL) |
group.var |
character; column in the colData(obj) used for grouping. (default: "majorCluster") |
batch |
character; covariate. (default: NULL) |
assay.bin |
character; binarized expression assay (default: NULL) |
out.prefix |
character; output prefix. (default: NULL) |
n.cores |
integer; number of cores used, if NULL it will be determined automatically (default: NULL) |
do.plot |
logical; whether plot. (default: TRUE) |
F.FDR.THRESHOLD |
numeric; threshold of the adjusted p value of F-test. (default: 0.01) |
pairwise.P.THRESHOLD |
numeric; threshold of the adjusted p value of HSD-test (default: 0.01) |
pairwise.FC.THRESHOLD |
numeric; threshold of the absoute diff of HSD-test (default: 1) |
use.Kruskal |
logical; whether use Kruskal test for ranking genes (default: FALSE) |
method.Max |
character; method to find highest group, one of "mean", "median", "rank.mean" (default: mean) |
do.force |
logical; . (default: FALSE) |
verbose |
logical; whether output all genes' result. (default: FALSE) |
... |
parameters passed to findDEGenesByAOV |
identify marker genes based on aov and AUC.
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