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_combo_panel(
  dt_average,
  cl_name,
  d_names = NULL,
  normalization_type = "GR",
  colors_vec = NULL
)

Arguments

dt_average

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

cl_name

string with cell line name to be plotted (identifiers CellLineName)

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")

colors_vec

character vector with colors for group_names - name or hex value note that the first color will be assigned to the min value of Concentration_2, and the last one - to the max of Concentration_2; the default is the orange-black palette

Value

ggplot object containing panel with plot with dose-response curves for selected cell line by drugs

Examples

mae <- gDRutils::get_synthetic_data("combo_matrix")
se <- mae[[gDRutils::get_supported_experiments("combo")]]
dt_average <- gDRutils::convert_se_assay_to_dt(se, "Averaged")

cl_name <- "cellline_IB"

plot_dose_response_combo_panel(dt_average = dt_average,
                               cl_name = cl_name)


d_names <- c("drug_001", "drug_002")
plot_dose_response_combo_panel(dt_average = dt_average,
                               cl_name = cl_name,
                               d_names = d_names)