add_scaled_counts_bulk.get_low_expressed {ppcseq} | R Documentation

## Drop lowly transcribed genes for TMM normalization

### Description

Drop lowly transcribed genes for TMM normalization

### Usage

    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
    )

### Arguments

`.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.

### Value

A tibble filtered

[Package ppcseq version 1.2.0 Index]