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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