View source: R/tpm_norm_flagging.R
| tpm_normalisation | R Documentation | 
This function uses feature count tables to calculate TPM values for each gene and sample.
tpm_normalisation(
  count_table,
  complete_ann,
  feature_type = c("putative_sRNA", "putative_UTR"),
  is_gff = T,
  output_file = NA,
  excl_rna = T
)
| count_table | A CSV file containing feature counts for each sample. | 
| complete_ann | A GFF3 annotation file or SAF dataframe | 
| feature_type | A string indicating desired feature type(s) from annotation. | 
| is_gff | A boolean indicating whether annotation is gff file, default=T | 
| output_file | A string indicating the name of the output file. | 
| excl_rna | A boolean indicating if misc RNA features (rRNA, tRNA) are excluded from normalisation. (Defaults=T) | 
A dataframe with TPM values for each gene and sample; the same is written into the output file.
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