Prep table with metric values for combination experiment

Usage

prep_dt_response_scores(
  dt_scores,
  d_name,
  d_name2,
  normalization_type = "RV",
  metric = "hsa_score",
  fit_source = "gDR"
)

Arguments

dt_scores: data.table representing data from the scores assay, outputted by gDRutils::convert_se_assay_to_dt and combo SummarizedExperiment
d_name: string with drug name to be plotted (identifiers DrugName)
d_name2: string with drug name to be plotted (identifiers DrugName_2)
normalization_type: string with normalization types to be selected one of: "GR" ("GRvalue") or "RV" ("RelativeViability")
metric: string name of the combo metric; one of: "hsa_score"("Bliss Excess GR" or "Bliss Excess RV" - respectively depending on normalization_type), "bliss_score" ("Bliss Score GR" or "Bliss Score RV")
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("combo")]]
dt_scores <- gDRutils::convert_se_assay_to_dt(se = se,
                                              assay_name = "scores")
d_name <- "drug_004"
d_name2 <- "drug_026"
dt_response <- prep_dt_response_scores(dt_scores, d_name, d_name2)
dt_response <-
  prep_dt_response_scores(dt_scores, d_name, d_name2,
                          metric = c("hsa_score", "bliss_score"))