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

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

Usage

plot_dose_response_sa_qc_panel(
  dt_metrics,
  dt_average,
  cl_name,
  d_names = NULL,
  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_names

character vector with drug names to be plotted (Drug Name); if NULL - all available drugs will be plotted

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 with panel with plots of dose-response curves for selected cell line by drugs (observed and fitted values)

Examples

mae <- gDRutils::get_synthetic_data("small")
se <- mae[[1]]

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_names <- unique(dt_metrics[["DrugName"]])[1:5]

plot_dose_response_sa_qc_panel(dt_metrics = dt_metrics,
                               dt_average = dt_average,
                               cl_name = cl_name)


plot_dose_response_sa_qc_panel(dt_metrics = dt_metrics,
                               dt_average = dt_average,
                               cl_name = cl_name,
                               d_names = d_names)