Module qc 

Structs

SqueezeCutoffs

Functions

collect_column_stat

collect column-wise sufficient statistics for Q/C

collect_column_stat_across_vec

collect column-wise sufficient statistics for Q/C

collect_row_stat

collect row-wise sufficient statistics for Q/C

collect_row_stat_across_vec

collect row-wise sufficient statistics for Q/C

collect_stratified_row_stat_across_vec

collect row statistics for each group of columns

print_nnz_summary

Print summary statistics + an ASCII log10(x+1) histogram of a per-row or per-column statistic vector (metric names it, e.g. “nnz”, “sum”, “mean”). A non-zero cutoff marks the cutoff bin and reports how much it removes; an optional suggested value reports the trough suggestion.

squeeze_by_nnz

squeeze out rows and columns with excessive zero values

suggest_nnz_cutoff

Suggest an nnz cutoff at the deepest trough of the nnz distribution, the gap between the ambient (empty barcode) peak and the cell peak. Columns with nnz >= cutoff are kept.