dot-SolveExpDose: Solve the Expected Dose of Drug to Achieve Given Effect (%...
In synergyfinder: Calculate and Visualize Synergy Scores for Drug Combinations
Description
Usage
Arguments
Value
Author(s)
Description
This function will solve the fitted dose-response model and output the dose
of drug at which it could achieve the % inhibition to cell growth.
Usage
1
.SolveExpDose(y, drug_par, drug_type)
Arguments
y
The expected effect (% inhibition) of the drug to cell line.
drug_par
The parameters for fitted dose-response model.
drug_type
The type of model was used to fit the dose-response curve.
Available values are "L.4" - four-parameter logistic model; "LL.4" -
four-parameter log-logistic model.
Value
A numeric value. It indicates the expected dose of drug.
Author(s)
Shuyu Zheng shuyu.zheng@helsinki.fi
Jing Tang jing.tang@helsinki.fi
synergyfinder documentation built on April 4, 2021, 6 p.m.
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Description Usage Arguments Value Author(s)
Description
This function will solve the fitted dose-response model and output the dose of drug at which it could achieve the % inhibition to cell growth.
Usage
1 | .SolveExpDose(y, drug_par, drug_type)
|
Arguments
y |
The expected effect (% inhibition) of the drug to cell line. |
drug_par |
The parameters for fitted dose-response model. |
drug_type |
The type of model was used to fit the dose-response curve. Available values are "L.4" - four-parameter logistic model; "LL.4" - four-parameter log-logistic model. |
Value
A numeric value. It indicates the expected dose of drug.
Author(s)
Shuyu Zheng shuyu.zheng@helsinki.fi
Jing Tang jing.tang@helsinki.fi
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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