add_scaled_counts_bulk.get_low_expressed: Drop lowly transcribed genes for TMM normalization
In tidybulk: Brings transcriptomics to the tidyverse

Drop lowly transcribed genes for TMM normalization

add_scaled_counts_bulk.get_low_expressed(
  .data,
  .sample = sample,
  .transcript = transcript,
  .abundance = count,
  factor_of_interest = NULL,
  minimum_counts = 10,
  minimum_proportion = 0.7
)

`.data`	A tibble
`.sample`	The name of the sample column
`.transcript`	The name of the transcript/gene column
`.abundance`	The name of the transcript/gene abundance column
`factor_of_interest`	The name of the column of the factor of interest
`minimum_counts`	A positive integer. Minimum counts required for at least some samples.
`minimum_proportion`	A real positive number between 0 and 1. It is the threshold of proportion of samples for each transcripts/genes that have to be characterised by a cmp bigger than the threshold to be included for scaling procedure.