computeZIP: Computes ZIP Null References

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

Computes ZIP Null References

Description

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

Usage

computeZIP(
  treatment1dose,
  HS_1,
  EC50_1,
  E_inf_1,
  treatment2dose,
  HS_2,
  EC50_2,
  E_inf_2
)

Arguments

treatment1dose	numeric a vector of concentrations for treatment 1
HS_1	numeric Hill coefficient of treatment 1
EC50_1	numeric relative EC50 of treatment 1.
E_inf_1	numeric viability produced by the maximum attainable effect of treatment 1. Default 0 by the original paper.
treatment2dose	numeric a vector of concentrations for treatment 2
HS_2	numeric Hill coefficient of treatment 2
EC50_2	numeric relative EC50 of treatment 2.
E_inf_2	numeric viability produced by maximum effect of treatment 2. Default 0 by the original paper.

Value

numeric expected viability under ZIP null assumption.

Examples

(zip <- computeZIP(
  treatment1dose = c(0.1, 0.01, 0.001),
  treatment2dose = c(1, 0.1, 0.01),
  HS_1 = rep(1, 3), HS_2 = rep(1.2, 3),
  EC50_1 = rep(0.01, 3), EC50_2 = rep(0.1, 3),
  E_inf_1 = rep(0, 3), E_inf_2 = rep(0.1, 3)
))

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