Get a single fit profile by name

Usage

get_fit_profile(name)

Arguments

name: string; profile name (e.g. "single-agent").

Value

Named list with the following fields:

slicing_cols: Column(s) used to split each BumpyMatrix cell into sub-experiments before calling fit_fn (e.g. "normalization_type").
slicing_values: Values of slicing_cols to iterate; NULL means all unique values found in each cell.
input_assay: Default source assay name.
nested_cols: Informational: the column(s) that index rows inside each BumpyMatrix cell (i.e., what fit_fn receives as row structure). Values are the canonical default identifiers resolved by gDRutils::get_env_identifiers() at package load — they may differ if identifiers are customised at runtime.
nested_cols_note: Human-readable note about how nested_cols are resolved.
description: Human-readable description of the profile.

Stops if the profile does not exist.

Examples

get_fit_profile("single-agent")
#> $slicing_cols
#> [1] "normalization_type"
#> 
#> $slicing_values
#> [1] "GR" "RV"
#> 
#> $input_assay
#> [1] "Averaged"
#> 
#> $nested_cols
#> [1] "concentration"
#> 
#> $nested_cols_note
#> [1] "identifier keys resolved at runtime via gDRutils::get_env_identifiers() — actual column names may differ in custom environments"
#> 
#> $description
#> [1] "1D dose-response curve; fit_fn receives one data.table per normalization_type slice, rows indexed by concentration"
#>