selFeatures {scDblFinder} | R Documentation |
Selects features based on cluster-wise expression or marker detection, or a combination.
selFeatures( sce, clusters = NULL, nfeatures = 1000, propMarkers = 0, FDR.max = 0.05 )
sce |
A |
clusters |
Optional cluster assignments. Should either be a vector of labels for each cell. |
nfeatures |
The number of features to select. |
propMarkers |
The proportion of features to select from markers (rather than on the basis of high expression). Ignored if ‘clusters' isn’t given. |
FDR.max |
The maximum marker binom FDR to be included in the selection.
(see |
A vector of feature (i.e. row) names.
sce <- mockDoubletSCE() selFeatures(sce, clusters=sce$cluster, nfeatures=5)