| 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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