seuratFindHVG {singleCellTK} | R Documentation |
seuratFindHVG Find highly variable genes and store in the input sce object
seuratFindHVG( inSCE, useAssay = "counts", hvgMethod = "vst", hvgNumber = 2000, altExp = FALSE, verbose = TRUE )
inSCE |
(sce) object to compute highly variable genes from and to store back to it |
useAssay |
Specify the name of the assay to use for computation
of variable genes. It is recommended to use a raw counts assay with the
'vst' method and normalized assay with all other methods. Default
is |
hvgMethod |
selected method to use for computation of highly variable genes. One of 'vst', 'dispersion', or 'mean.var.plot'. Default method is 'vst' which uses the raw counts. All other methods use normalized counts. |
hvgNumber |
numeric value of how many genes to select as highly
variable. Default |
altExp |
Logical value indicating if the input object is an
altExperiment. Default |
verbose |
Logical value indicating if informative messages should
be displayed. Default is |
Updated SingleCellExperiment
object with highly variable genes
computation stored
data(scExample, package = "singleCellTK") ## Not run: sce <- seuratNormalizeData(sce, useAssay = "counts") sce <- seuratFindHVG(sce, useAssay = "counts") ## End(Not run)