Construct a SummarizedExperiment leaf

Usage

mae_create_experiment(assays, col_data, row_data = NULL, assay_name = "counts")

Arguments

assays: A matrix, matrix-like object, or named list of assays.
col_data: Sample metadata coercible to S4Vectors::DataFrame.
row_data: Optional feature metadata coercible to S4Vectors::DataFrame.
assay_name: Name used when assays is a single matrix.

Value

A SummarizedExperiment::SummarizedExperiment.

Examples

counts <- matrix(
  1:6,
  nrow = 3,
  dimnames = list(paste0("gene", 1:3), c("sample1", "sample2"))
)
samples <- data.frame(
  condition = c("control", "treated"),
  row.names = colnames(counts)
)
mae_create_experiment(counts, samples)
#> class: SummarizedExperiment 
#> dim: 3 2 
#> metadata(0):
#> assays(1): counts
#> rownames(3): gene1 gene2 gene3
#> rowData names(0):
#> colnames(2): sample1 sample2
#> colData names(1): condition