computeHSA: Compute HSA Null References
In bhklab/PharmacoGx: Analysis of Large-Scale Pharmacogenomic Data
View source: R/computeSynergy.R
computeHSA R Documentation
Compute HSA Null References
Description
Given two numeric containing viability of two monotherapy respectively,
Compute highest single-agent (HSA) values as the expected response
of the two treatments combined.
Usage
computeHSA(viability_1, viability_2)
Arguments
viability_1
numeric monotherapeutic response of treatment 1.
viability_2
numeric monotherapeutic response of treatment 2.
Value
numeric expected response of the two treatments combined
using the highest response of the two (lower viability).
Examples
(hsa <- computeHSA(0.75, 0.65))
bhklab/PharmacoGx documentation built on April 18, 2024, 3:13 a.m.
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View source: R/computeSynergy.R
| computeHSA | R Documentation |
Compute HSA Null References
Description
Given two numeric containing viability of two monotherapy respectively,
Compute highest single-agent (HSA) values as the expected response
of the two treatments combined.
Usage
computeHSA(viability_1, viability_2)
Arguments
viability_1 |
|
viability_2 |
|
Value
numeric expected response of the two treatments combined
using the highest response of the two (lower viability).
Examples
(hsa <- computeHSA(0.75, 0.65))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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