Plot drug response curves for single-agent data to control quality of the data

Plot drug response curves for single-agent data to control quality of the data

Usage

plot_dose_response_sa_qc(
  dt_metrics,
  dt_average,
  cl_name,
  d_name,
  normalization_type = "GR",
  fit_source = "gDR"
)

Arguments

dt_metrics

data.table representing data from the Metrics assay, outputted by gDRutils::convert_se_assay_to_dt(se, "Metrics") and single-agent SummarizedExperiment

dt_average

data.table representing data from the Averaged assay, outputted by gDRutils::convert_se_assay_to_dt(se, "Averaged") and single-agent SummarizedExperiment

cl_name

string cell line name to be plotted (Cell Line Name)

d_name

string vector with drug name to be plotted (Drug Name)

normalization_type

string with normalization_types to be selected one of: "GR" ("GRvalue") or "RV" ("RelativeViability")

fit_source

string source name for metrics

Value

ggplot object containing plot of dose-response curves (observed and fitted values)

Examples

mae <- gDRutils::get_synthetic_data("small")
se <- mae[[gDRutils::get_supported_experiments("sa")]]

dt_metrics <- gDRutils::convert_se_assay_to_dt(se, "Metrics")
dt_average <- gDRutils::convert_se_assay_to_dt(se, "Averaged")
cl_name <- dt_metrics[["CellLineName"]][1]
d_name <- dt_metrics[["DrugName"]][1]

plot_dose_response_sa_qc(dt_metrics = dt_metrics,
                         dt_average = dt_average,
                         cl_name = cl_name,
                         d_name = d_name)