loeweCI: Loewe Additive Combination Index (CI)

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

Loewe Additive Combination Index (CI)

Description

Computes the Loewe additive combination index (CI) from its definition CI = \frac{x_1}{f_1^{-1}(E)} + \frac{x_2}{f_2^{-1}(E)}

Usage

loeweCI(
  viability,
  treatment1dose,
  HS_1,
  E_inf_1,
  EC50_1,
  treatment2dose,
  HS_2,
  E_inf_2,
  EC50_2,
  is_pct = FALSE
)

Arguments

viability	numeric is a vector whose entries are the viability values in the range [0, 1].
treatment1dose	numeric a vector of concentrations for treatment 1
HS_1	numeric Hill coefficient of treatment 1
E_inf_1	numeric 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 the maximum attainable effect of treatment 2.
EC50_2	numeric relative EC50 of treatment 2.
is_pct	logical whether both the input viabiliy and E_inf are given in percentage ([0, 100]) rather than decimal ([0, 1]). Default FALSE.

Value

CI under Loewe additive definition

Examples

## Not run: 
tre |>
    endoaggregate(
        assay="combo_viability",
        Loewe = PharmacoGx::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.