Prep table with metric values by doses for single-agent experiment

Usage

prep_dt_response_dose_sa(
  dt_average,
  d_name,
  normalization_type = "RV",
  metric = "x",
  fit_source = "gDR"
)

Arguments

dt_average: data.table representing data from the Averaged assay, outputted by gDRutils::convert_se_assay_to_dt and SummarizedExperiment with chosen data type: single-agent or combo
d_name: string with drug name to be plotted (identifiers DrugName)
normalization_type: string with normalization types to be selected one of: "GR" ("GRvalue") or "RV" ("RelativeViability")
metric: string name of the metric; one of: "x" (value of "GR" or "RV" itself - respectively depending on normalization_type), or "x_std" (standard deviation)
fit_source: string source name for metrics

Value

data.table with selected metric, input to prep_dt_assoc

Examples

mae <- gDRutils::get_synthetic_data("combo_matrix_small")
se <- mae[[gDRutils::get_supported_experiments("sa")]]
dt_average <- gDRutils::convert_se_assay_to_dt(se = se,
                                               assay_name = "Averaged")
d_name <- "drug_004"
dt_response <- prep_dt_response_dose_sa(dt_average, d_name)