computeLoewe: Computes Loewe Null References

In bhklab/PharmacoGx: Analysis of Large-Scale Pharmacogenomic Data

Computes Loewe Null References

Description

Predict the response of a treatment combination under the Loewe additive null assumption.

Usage

computeLoewe(
  treatment1dose,
  HS_1,
  E_inf_1,
  EC50_1,
  treatment2dose,
  HS_2,
  E_inf_2,
  EC50_2,
  tol = 0.1,
  lower_bound = 0,
  upper_bound = 1,
  verbose = FALSE
)

Arguments

treatment1dose	numeric a vector of concentrations for treatment 1
HS_1	numeric Hill coefficient of treatment 1
E_inf_1	numeric viability produced by the maximum attainable effect of treatment 1.
EC50_1	numeric relative EC50 of treatment 1.
treatment2dose	numeric a vector of concentrations for treatment 2
HS_2	numeric Hill coefficient of treatment 2
E_inf_2	numeric viability produced by the maximum attainable effect of treatment 2.
EC50_2	numeric relative EC50 of treatment 2.
tol	numeric Error tolerance for deviations from Loewe assumption. Loewe predictions with error higher than tol will be returned as NA. Deafult 0.1.
lower_bound	numeric Lowest possible value for Loewe expected viability. Default 0.
upper_bound	numeric Highest possible value for Loewe expected viability. Default 1.
verbose	logical whether to display warning messages. Default FALSE.

Value

numeric expected viability under Loewe additive null assumption.

Examples

## Not run: 
tre |>
    endoaggregate(
        assay="combo_viability",
        Loewe = computeLoewe(
            treatment1dose=treatment1dose,
            treatment2dose=treatment2dose,
            HS_1=HS_1,
            HS_2=HS_2,
            E_inf_1=E_inf_1,
            E_inf_2=E_inf_2,
            EC50_1=EC50_1,
            EC50_2=EC50_2
        ),
        by = assayKeys(tre, "combo_viability")
    ) -> tre

## End(Not run)

bhklab/PharmacoGx documentation built on April 18, 2024, 3:13 a.m.