save_sparse_data: save_sparse_data
In hemberg-lab/sctransfermap: sctransfermap for predicting cell type in single-cell data (RNA-seq and ATAC-seq)
Description
Usage
Arguments
Value
Examples
Description
save MatrixMarket format of sparse matrix
Usage
1
save_sparse_data(input_var, filename)
Arguments
input_var
matrix class composed of gene/peak_location(row)-by-cell(column)
- same as result of importdata or convert_seurat
filename
filename to be saved
Value
no return value. But, it saves sparse matrix in MatrixMarket format with cell annotation file (for column name) and gene name or peak location, etc... (for rowname)
Examples
1
2
data <- importdata("user_file")
save_sparse_data(data, "user_scData")
hemberg-lab/sctransfermap documentation built on Nov. 11, 2019, 6:23 a.m.
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Description Usage Arguments Value Examples
Description
save MatrixMarket format of sparse matrix
Usage
1 | save_sparse_data(input_var, filename)
|
Arguments
input_var |
matrix class composed of gene/peak_location(row)-by-cell(column) |
filename |
filename to be saved |
Value
no return value. But, it saves sparse matrix in MatrixMarket format with cell annotation file (for column name) and gene name or peak location, etc... (for rowname)
Examples
1 2 | data <- importdata("user_file")
save_sparse_data(data, "user_scData")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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