Return or set the cell cluster labels determined by celda_C or celda_CG models.

celdaClusters(x, altExpName = "featureSubset")

# S4 method for SingleCellExperiment
celdaClusters(x, altExpName = "featureSubset")

# S4 method for celdaModel
celdaClusters(x)

celdaClusters(x, altExpName = "featureSubset") <- value

# S4 method for SingleCellExperiment
celdaClusters(x, altExpName = "featureSubset") <- value

Arguments

x

Can be one of

  • A SingleCellExperiment object returned by celda_C, or celda_CG, with the matrix located in the useAssay assay slot. The a altExp slot with name altExpName will be used. Rows represent features and columns represent cells.

  • Celda model object.

altExpName

The name for the altExp slot to use. Default "featureSubset".

value

Character vector of cell cluster labels for replacements. Works only if x is a SingleCellExperiment object.

Value

One of

  • Character vector if x is a SingleCellExperiment object. Contains cell cluster labels for each cell in x.

  • List if x is a celda model object. Contains cell cluster labels (for celda_C and celdaCG Models) and/or feature module labels (for celda_G and celdaCG Models).

Examples

data(sceCeldaCG) celdaClusters(sceCeldaCG)
#> [1] 1 2 2 2 1 1 3 1 1 2 3 2 4 3 2 1 2 4 4 1 3 5 3 2 1 3 3 2 3 3 5 3 2 5 5 3 4 #> [38] 4 3 2 1 2 1 1 2 3 4 2 5 3 5 1 1 3 1 3 3 1 4 5 4 4 1 3 5 2 5 2 1 3 1 2 4 1 #> [75] 5 2 1 3 4 4 3 5 1 1 4 4 4 1 1 3 3 1 3 1 1 4 4 3 5 3 4 3 4 4 1 3 4 4 1 3 1 #> [112] 3 4 3 1 3 3 3 3 3 5 4 4 4 4 1 1 4 1 4 1 4 1 1 1 5 4 1 4 3 5 4 4 5 4 3 3 3 #> [149] 1 4 4 4 1 4 1 4 3 3 5 4 1 1 4 4 3 4 1 3 2 4 4 3 1 4 1 5 1 3 4 5 1 4 4 3 4 #> [186] 3 5 4 5 5 5 5 5 5 2 5 1 2 3 2 5 5 5 2 1 5 5 2 4 2 1 1 5 5 5 5 5 5 2 2 5 2 #> [223] 5 1 2 5 1 5 2 5 5 5 1 2 1 5 2 5 3 5 5 2 3 5 5 1 3 2 5 5 5 2 5 4 5 5 5 5 5 #> [260] 5 1 3 2 5 2 5 2 3 2 5 2 5 5 1 1 5 5 1 4 5 5 5 3 3 1 2 1 2 3 3 2 1 1 3 1 1 #> [297] 1 3 1 3 3 3 2 3 3 5 5 1 1 3 3 3 1 3 3 3 3 1 1 3 3 3 1 3 5 2 1 1 1 1 1 3 1 #> [334] 2 3 3 1 3 5 1 3 1 3 5 3 3 3 1 1 5 1 3 3 3 4 1 4 3 4 3 1 2 1 1 4 2 1 4 4 3 #> [371] 5 1 4 5 1 3 5 3 3 1 3 5 1 4 4 4 3 3 1 3 1 5 1 3 3 5 3 1 1 1 3 1 2 1 2 4 1 #> [408] 2 4 3 1 4 1 5 1 3 2 1 5 2 1 5 2 4 1 #> Levels: 1 2 3 4 5
data(celdaCGMod) celdaClusters(celdaCGMod)
#> $z #> [1] 2 1 1 1 2 2 3 2 2 1 3 1 4 3 1 2 1 4 4 2 3 5 3 1 2 3 3 1 3 3 5 3 1 5 5 3 4 #> [38] 4 3 1 2 1 2 2 1 3 4 1 5 3 5 2 2 3 2 3 3 2 4 5 4 4 2 3 5 1 5 1 2 3 2 1 4 2 #> [75] 5 1 2 3 4 4 3 5 2 2 4 4 4 2 2 3 3 2 3 2 2 4 4 3 5 3 4 3 4 4 2 3 4 4 2 3 2 #> [112] 3 4 3 2 3 3 3 3 3 5 4 4 4 4 2 2 4 2 4 2 4 2 2 2 5 4 2 4 3 5 4 4 5 4 3 3 3 #> [149] 2 4 4 4 2 4 2 4 3 3 5 4 2 2 4 4 3 4 2 3 1 4 4 3 2 4 2 5 2 3 4 5 2 4 4 3 4 #> [186] 3 5 4 5 5 5 5 5 5 1 5 2 1 3 1 5 5 5 1 2 5 5 1 4 1 2 2 5 5 5 5 5 5 1 1 5 1 #> [223] 5 2 1 5 2 5 1 5 5 5 2 1 2 5 1 5 3 5 5 1 3 5 5 2 3 1 5 5 5 1 5 4 5 5 5 5 5 #> [260] 5 2 3 1 5 1 5 1 3 1 5 1 5 5 2 2 5 5 2 4 5 5 5 3 3 2 1 2 1 3 3 1 2 2 3 2 2 #> [297] 2 3 2 3 3 3 1 3 3 5 5 2 2 3 3 3 2 3 3 3 3 2 2 3 3 3 2 3 5 1 2 2 2 2 2 3 2 #> [334] 1 3 3 2 3 5 2 3 2 3 5 3 3 3 2 2 5 2 3 3 3 4 2 4 3 4 3 2 1 2 2 4 1 2 4 4 3 #> [371] 5 2 4 5 2 3 5 3 3 2 3 5 2 4 4 4 3 3 2 3 2 5 2 3 3 5 3 2 2 2 3 2 1 2 1 4 2 #> [408] 1 4 3 2 4 2 5 2 3 1 2 5 1 2 5 1 4 2 #> #> $y #> [1] 7 5 1 8 1 4 10 9 2 4 7 10 10 5 3 10 2 10 9 5 9 3 5 7 6 #> [26] 9 9 4 8 2 9 5 4 5 9 5 5 4 4 6 5 8 8 5 1 6 10 9 7 1 #> [51] 4 3 7 9 6 10 9 10 7 6 8 6 9 5 4 5 9 9 10 5 4 3 8 7 9 #> [76] 6 2 3 7 6 3 4 9 3 9 10 4 10 7 1 1 10 10 1 6 1 6 9 5 4 #>