View source: R/Read_&_Write_Data.R
Read10X_GEO | R Documentation |
Enables easy loading of sparse data matrices provided by 10X genomics. That have file prefixes added to them by NCBI GEO or other repos.
Read10X_GEO(
data_dir = NULL,
sample_list = NULL,
sample_names = NULL,
gene.column = 2,
cell.column = 1,
unique.features = TRUE,
strip.suffix = FALSE,
parallel = FALSE,
num_cores = NULL,
merge = FALSE
)
data_dir |
Directory containing the matrix.mtx, genes.tsv (or features.tsv), and barcodes.tsv files provided by 10X. |
sample_list |
A vector of file prefixes/names if specific samples are desired. Default is |
sample_names |
a set of sample names to use for each sample entry in returned list. If |
gene.column |
Specify which column of genes.tsv or features.tsv to use for gene names; default is 2. |
cell.column |
Specify which column of barcodes.tsv to use for cell names; default is 1. |
unique.features |
Make feature names unique (default TRUE). |
strip.suffix |
Remove trailing "-1" if present in all cell barcodes. |
parallel |
logical (default FALSE). Whether to use multiple cores when reading in data. Only possible on Linux based systems. |
num_cores |
if |
merge |
logical (default FALSE) whether or not to merge samples into a single matrix or return
list of matrices. If TRUE each sample entry in list will have cell barcode prefix added. The prefix
will be taken from |
If features.csv indicates the data has multiple data types, a list containing a sparse matrix of the data from each type will be returned. Otherwise a sparse matrix containing the expression data will be returned.
Code used in function has been slightly modified from Seurat::Read10X
function of
Seurat package https://github.com/satijalab/seurat (License: GPL-3). Function was modified to
support file prefixes and altered loop by Samuel Marsh for scCustomize (also previously posted as
potential PR to Seurat GitHub).
## Not run:
data_dir <- 'path/to/data/directory'
expression_matrices <- Read10X_GEO(data_dir = data_dir)
# To create object from single file
seurat_object = CreateSeuratObject(counts = expression_matrices[[1]])
## End(Not run)
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