default_meta_agg: Default metadata aggregation function table

In calabrialab/ISAnalytics: Analyze gene therapy vector insertion sites data identified from genomics next generation sequencing reads for clonal tracking studies

Default metadata aggregation function table

Description

A default columns-function specifications for aggregate_metadata

Usage

default_meta_agg()

Details

This data frame contains four columns:

• Column: holds the name of the column in the association file that should be processed

• Function: contains either the name of a function (e.g. mean) or a purrr-style lambda (e.g. ~ mean(.x, na.rm = TRUE)). This function will be applied to the corresponding column specified in Column

• Args: optional additional arguments to pass to the corresponding function. This is relevant ONLY if the corresponding Function is a simple function and not a purrr-style lambda.

• Output_colname: a glue specification that will be used to determine a unique output column name. See glue for more details.

Value

A data frame

See Also

Other Data cleaning and pre-processing: aggregate_metadata(), aggregate_values_by_key(), compute_near_integrations(), outlier_filter(), outliers_by_pool_fragments(), purity_filter(), realign_after_collisions(), remove_collisions(), threshold_filter()

Examples

default_meta_agg()

calabrialab/ISAnalytics documentation built on Nov. 2, 2023, 8:57 p.m.