| accumulate.zscores | Sum across sign corrected z-scores for total sample quality score |
| correct.zscore.signs | Corrects the z-scores signs according to the metrics |
| cosine.similarity.cutoff | Calculate an outlier cutoff using cosine similarity |
| cosine.similarity.iterative | Tests the accumulated quality scores for outliers using cosine similarity |
| example.qc.dataframe | QC metrics across 100 samples |
| fit.and.evaluate | Fits the QC data to distributions and returns the KS test result and BIC score |
| get.qc.barplot | Generates the standard barplot of scores for each sample |
| get.qc.heatmap | Generates the standard heatmap of scores for each sample. |
| get.qc.multipanelplot | Generates the multipanel plot of heatmap and barplot |
| sign.correction | Directionality of QC metrics |
| ylabels | Formatted QC metrics labels |
| zscores.from.metrics | Calculate z-scores for each metric across each sample |