Module qc 

Structs

SqueezeCutoffs

Functions

below_nnz_cutoff

Whether a row or column with nnz non-zeros falls below cutoff and is squeezed out. Every preview of a cutoff counts with this rule, so what it reports matches what squeeze_by_nnz removes.

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

fmt_stat

Format a statistic value compactly: whole numbers (nnz, integer counts) print without a decimal point; fractional values (mean, sd) get decimals places.

log_bin_key

Key of the log10(x+1) histogram bin holding x: round(10 * log10(x + 1)), so bins are a tenth of a decade wide.

median_of_sorted

Median of an ascending slice (0 when empty).

pct

part as a percentage of total (0 when there is nothing).

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.