View source: R/LoadingRawMatrix_typewise.R
LoadingRawMatrix_typewise | R Documentation |
A function to load a dense matrix of genotyping information and reformat it. Each matrix should have a column with the cell barcodes, one with the reference reads and one with the alternative reads. The type in the design matrix is used as the variant name.
LoadingRawMatrix_typewise(
samples_file,
patient,
patient_column = "patient",
variant_use = NULL,
cells_include = NULL,
cells_exclude = NULL,
matrix_column_separator = ",",
matrix_header = TRUE,
cellbarcode_index = 1,
ref_index = 2,
alt_index = 3,
cellbarcode_length = 18,
verbose = TRUE
)
samples_file |
Path to the csv file with the samples to be loaded. |
patient |
The patient you want to load. |
patient_column |
The column that contains the patient information. |
variant_use |
The variant of the respective matrices. |
cells_include |
A vector of cell barcodes. Only these cells will be retained. |
cells_exclude |
A vector of cell barcodes. These cells will be removed from the output. |
cellbarcode_length |
The length of the cell barcode. This should be the length of the actual barcode plus two for the suffix (-1). Default = 18 |
verbose |
Should the function be verbose? Default = TRUE |
samples_path |
Path to the input folder. Must include a barcodes file. |
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