| available_ranges | Available reference ranges | 
| calculateExpressedRange | Make a data frame predicting the expression of glycogenes... | 
| calculateNormalisedIntersects | Predicting glycosylation capacity in test data from reference... | 
| calculatePseudobulks | Trimmed mean pseudobulk and pseudopresence calculation | 
| calculatePseudobulks.Seurat | Trimmed mean pseudobulk and pseudopresence calculation | 
| clr_transform | compute clrs for a vector of values | 
| expression_prediction | single cell gene expression prediction | 
| facet_glycogenome | ggplot2 facet based on glycogenome pathway | 
| getNormalisedRanges | Predicting dynamic ranges in test data | 
| normaliseOnSEGs | reference gene normalisation wrapper | 
| predictMinimalExpression | single cell gene expression prediction wrapper | 
| predictPseudopresenceStability | single cell pseudopresence prediction wrapper | 
| pseudopresence_prediction | single cell pseudopresence prediction | 
| range_generation | compute quantiles for a vector of values | 
| seg_normalisation | reference gene normalisation | 
| transformToCLR | wrapper for computing clrs on test data | 
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