Aggregates multiple counts from the same samples (e.g., from isoforms), concatenates other character columns, and averages other numeric columns

aggregate_duplicates() takes as input A `tbl` (with at least three columns for sample, feature and transcript abundance) or `SummarizedExperiment` (more convenient if abstracted to tibble with library(tidySummarizedExperiment)) and returns a consistent object (to the input) with aggregated transcripts that were duplicated.

aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

# S4 method for spec_tbl_df
aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

# S4 method for tbl_df
aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

# S4 method for tidybulk
aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

# S4 method for SummarizedExperiment
aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

# S4 method for RangedSummarizedExperiment
aggregate_duplicates(
  .data,
  .sample = NULL,
  .transcript = NULL,
  .abundance = NULL,
  aggregation_function = sum,
  keep_integer = TRUE
)

Arguments

.data

A `tbl` (with at least three columns for sample, feature and transcript abundance) or `SummarizedExperiment` (more convenient if abstracted to tibble with library(tidySummarizedExperiment))

.sample

The name of the sample column

.transcript

The name of the transcript/gene column

.abundance

The name of the transcript/gene abundance column

aggregation_function

A function for counts aggregation (e.g., sum, median, or mean)

keep_integer

A boolean. Whether to force the aggregated counts to integer

Value

A consistent object (to the input) with aggregated transcript abundance and annotation

A consistent object (to the input) with aggregated transcript abundance and annotation

A consistent object (to the input) with aggregated transcript abundance and annotation

A consistent object (to the input) with aggregated transcript abundance and annotation

A `SummarizedExperiment` object

A `SummarizedExperiment` object

Details

`r lifecycle::badge("maturing")`

This function aggregates duplicated transcripts (e.g., isoforms, ensembl). For example, we often have to convert ensembl symbols to gene/transcript symbol, but in doing so we have to deal with duplicates. `aggregate_duplicates` takes a tibble and column names (as symbols; for `sample`, `transcript` and `count`) as arguments and returns a tibble with aggregate transcript with the same name. All the rest of the column are appended, and factors and boolean are appended as characters.

Underlying custom method: data filter(n_aggr > 1) group_by(!!.sample,!!.transcript) dplyr::mutate(!!.abundance := !!.abundance

Examples

# Create a aggregation column
se_mini = tidybulk::se_mini
SummarizedExperiment::rowData(se_mini )$gene_name = rownames(se_mini )

   aggregate_duplicates(
     se_mini,
   .transcript = gene_name
   )
#> tidybulk says: your object does not have duplicates along the gene_name column. The input dataset is returned.
#> class: SummarizedExperiment 
#> dim: 527 5 
#> metadata(0):
#> assays(1): count
#> rownames(527): ABCB4 ABCB9 ... ZNF324 ZNF442
#> rowData names(2): entrez gene_name
#> colnames(5): SRR1740034 SRR1740035 SRR1740043 SRR1740058 SRR1740067
#> colData names(5): Cell.type time condition days dead