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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