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All functions

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