Set motif matrix for given assay
Usage
SetMotifData(object, ...)
# S3 method for class 'Motif'
SetMotifData(object, slot, new.data, ...)
# S3 method for class 'ChromatinAssay5'
SetMotifData(object, slot, new.data, ...)
# S3 method for class 'Seurat'
SetMotifData(object, assay = NULL, ...)Value
Returns a SeuratObject::Seurat() object
Examples
motif.obj <- SeuratObject::GetAssayData(
object = atac_small[["peaks"]], slot = "motifs"
)
SetMotifData(object = motif.obj, slot = "data", new.data = matrix(1:2))
#> A Motif object containing 1 motifs in 2 regions
new.data <- matrix(sample(c(0, 1),
size = nrow(atac_small[["peaks"]]) * 10,
replace = TRUE
), nrow = nrow(atac_small[["peaks"]]))
rownames(new.data) <- rownames(atac_small[["peaks"]])
SetMotifData(
object = atac_small[["peaks"]], slot = "data", new.data = new.data
)
#> Warning: Overwriting motif information
#> GRangesAssay data with 100 features for 100 cells
#> Variable features: 0
#> Annotation present: TRUE
#> Fragment files: 0
#> Motifs present: TRUE
#> Links present: 0
#> Region aggregation matrices: 0
motif.matrix <- GetMotifData(object = atac_small)
SetMotifData(
object = atac_small,
assay = "peaks",
slot = "data",
new.data = motif.matrix
)
#> Warning: Overwriting motif information
#> An object of class Seurat
#> 150 features across 100 samples within 2 assays
#> Active assay: peaks (100 features, 0 variable features)
#> 2 layers present: counts, data
#> 1 other assay present: RNA
#> 2 dimensional reductions calculated: lsi, umap