All functions

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mt_batch()

Correct for batch-effects in mmt objects based on variable/sample metadata.

mt_diffexprs()

Calculate differential expression statistics by a grouping variable.

mt_dumpDE()

Extract results from DE analysis done using mt_diffexprs.

mt_gather()

Gather the mmt object into one dataframe, suitable for e.g. ggplot or custom analysis (internal function)

mt_load()

Load the transcriptomics data, associated gene data and metadata.

mt_loadMetaT()

Load data produced by the MetaT pipeline into R.

mt_plotpairs()

Plot multiple combinations of sample gene expressions in a pairs plot

mt_stackbar()

Make a stacked barplot of the sequencing statistics.

mt_subset()

Normalise and subset the data in mmt objects based on variable/sample metadata.

print(<mmt>)

Prints mmt object summary (internal function)

setroworder()

The row-version of setcolorder in data.table (internal function)

vis_boxplot()

Visually appealing boxplots

vis_ordinate()

Visually appealing ordination plots