HSA: Fill the dataset with the predicted effect under Highest...
In Michorlab/ACESO: A Cancer Evolution Simulation Optimizer

Description Usage Arguments Value Examples

Fill the dataset with the predicted effect under Highest Single Agent (HSA) model

1 2	HSA(data, resp = "Birth_rate", conc1 = "CONC", conc2 = "CONC2", Emax.effect = c("min", "max"))

`data`	input dataset
`resp`	Name of the column in the dataset with the effect/response to be fitted.
`conc1`	Name of the column in the dataset with the concentrations for drug 1. 'CONC' by default.
`conc2`	Name of the column in the dataset with the concentrations for drug 1. 'CONC2' by default.
`Emax.effect`	argument to indicate whether the maximum effect of the drug in the dataset is associated with the minimum or the maximum values of the resp column.

The input dataset with a new column called 'HSA_response' to store the expected effect of combination under HSA model

## Not run: 
data(Dactolisib_Trametinib_rates)
head(GD)
GD=HSA(GD,resp='Birth_rate',conc1='CONC',conc2='CONC2')
head(GD)
rmap <- braidReports::responseMap(HSA_response~CONC+CONC2,GD,logscale=T)
plot.ResponseSurface(rmap,xl="[Dactolisib] (ÂµM)",yl="[Trametinib] (ÂµM)",
zl="Birth rate of \n sensitive cells (1/h)",title="HSA")

## End(Not run)