View source: R/sc_atac_cell_calling.R
sc_atac_cell_calling | R Documentation |
the methods to call true cells are of various ways.
implement (i.e. filtering
from scATAC-Pro
as default
sc_atac_cell_calling(
mat,
cell_calling = "filter",
output_folder,
genome_size = NULL,
cell_qc_metrics_file = NULL,
lower = NULL,
min_uniq_frags = 3000,
max_uniq_frags = 50000,
min_frac_peak = 0.3,
min_frac_tss = 0,
min_frac_enhancer = 0,
min_frac_promoter = 0.1,
max_frac_mito = 0.15
)
mat |
the feature by cell matrix. |
cell_calling |
the cell calling approach, possible options were "emptydrops" , "cellranger" and "filter". But we opten to using "filter" as it was most robust. "emptydrops" is still an opition for data with large umber of cells. |
output_folder |
output directory for the cell called matrix. |
genome_size |
genome size for the data in feature by cell matrix. |
cell_qc_metrics_file |
quality per barcode file for the barcodes in the matrix if using the |
lower |
the lower threshold for the data if using the |
min_uniq_frags |
The minimum number of required unique fragments required for a cell (used for |
max_uniq_frags |
The maximum number of required unique fragments required for a cell (used for |
min_frac_peak |
The minimum proportion of fragments in a cell to overlap with a peak (used for |
min_frac_tss |
The minimum proportion of fragments in a cell to overlap with a tss (used for |
min_frac_enhancer |
The minimum proportion of fragments in a cell to overlap with a enhancer sequence (used for |
min_frac_promoter |
The minimum proportion of fragments in a cell to overlap with a promoter sequence (used for |
max_frac_mito |
The maximum proportion of fragments in a cell that are mitochondrial (used for |
## Not run:
sc_atac_cell_calling <- function(mat,
cell_calling,
output_folder,
genome_size = NULL,
cell_qc_metrics_file = NULL,
lower = NULL)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.