Generate SummarizedExperiment Objects Representing deepTools Matrices

generateDeeptoolsExperiments(ranges, bins, names = c("A"))

Arguments

ranges	Number of genomic ranges (i.e., rows).
bins	Number of bins (i.e., columns).
names	Character vector of sample names.

Value

A list of SummarizedExperiment objects.

Examples

# Usage ----

sample_names <- c("A", "B", "C")

se_list <- generateDeeptoolsExperiments(20, 10, sample_names)
se_list
#> $A
#> class: RangedSummarizedExperiment 
#> dim: 20 10 
#> metadata(0):
#> assays(1): matrix
#> rownames(20): GR_1 GR_2 ... GR_19 GR_20
#> rowData names(0):
#> colnames(10): 1 2 ... 9 10
#> colData names(0):
#> 
#> $B
#> class: RangedSummarizedExperiment 
#> dim: 20 10 
#> metadata(0):
#> assays(1): matrix
#> rownames(20): GR_1 GR_2 ... GR_19 GR_20
#> rowData names(0):
#> colnames(10): 1 2 ... 9 10
#> colData names(0):
#> 
#> $C
#> class: RangedSummarizedExperiment 
#> dim: 20 10 
#> metadata(0):
#> assays(1): matrix
#> rownames(20): GR_1 GR_2 ... GR_19 GR_20
#> rowData names(0):
#> colnames(10): 1 2 ... 9 10
#> colData names(0):
#>