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Loads unfiltered 10X data from each data-set and identifies which droplets are cells using the cellranger defaults.
load10X( dataDir, cellIDs = NULL, channelName = NULL, readArgs = list(), includeFeatures = c("Gene Expression"), verbose = TRUE, ... )
A SoupChannel object containing the count tables for the 10X dataset.
Top level cellranger output directory (the directory that contains the raw_gene_bc_matrices folder).
raw_gene_bc_matrices
Barcodes of droplets that contain cells. If NULL, use the default cellranger set.
The name of the channel to store. If NULL set to either names(dataDir) or dataDir is no name is set.
names(dataDir)
dataDir
A list of extra parameters passed to Seurat::Read10X.
Seurat::Read10X
If multiple feature types are present, keep only the types mentioned here and collapse to a single matrix.
Be verbose?
Extra parameters passed to SoupChannel construction function.
SoupChannel
SoupChannel estimateSoup
sc = load10X(system.file('extdata','toyData',package='SoupX'))
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