label_shuffling: Calculate p-values using label shuffling.
In esebesty/SplicingFactory: Splicing Diversity Analysis for Transcriptome Data

Calculate p-values using label shuffling.

label_shuffling(
  x,
  samples,
  control,
  method,
  randomizations = 100,
  pcorr = "BH"
)

`x`	A `matrix` with the splicing diversity values.
`samples`	Character vector with an equal length to the number of columns in the input dataset, specifying the category of each sample.
`control`	Name of the control sample category, defined in the `samples` vector, e.g. `control = 'Normal'` or `control = 'WT'`.
`method`	Method to use for calculating the average splicing diversity value in a condition. Can be `'mean'` or `'median'`.
`randomizations`	The number of random shuffles.
`pcorr`	P-value correction method applied to the results, as defined in the `p.adjust` function.