Converts a SingleCellExperiment object to a MAMS object

Usage

convert_SCE_to_MAMS(object_list, observation_subsets, dataset_id)

Arguments

object_list: A named list of SingleCellExperiment objects to be converted to MAMS format
observation_subsets: A vector with same length as object_list indicating the observation subset name for each SingleCellExperiment object. One of: full, filtered, threshold, detected, nonartifact, clean.
dataset_id: Specify id of the dataset

Value

A MAMS object containing all the extracted metadata fields.

Examples

if (FALSE) { # \dontrun{
library(SingleCellExperiment)
counts <- matrix(rpois((500*200), 1), nrow = 500, ncol = 200, 
    dimnames = list(paste0("Row", 1:500), paste0("Col", 1:200)))
sce <- SingleCellExperiment(list(counts=counts))
sce <- scuttle::logNormCounts(sce)
subset_sce <- sce[, 1:100]
mams <- convert_SCE_to_MAMS(object_list = list(sce = sce, 
    subset_sce = subset_sce), observation_subsets = c("full", "subset"), 
    dataset_id = "dataset1")
print(mams)
} # }