MCGD: Gradient Descent using Monte Carlo sampling of starting...
In genehackers/optizyme: Optizyme
Description
Usage
Arguments
Value
Description
This function optimizes enzyme ratios for a cell-free system.
Usage
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MCGD(
NumberOfEnzymes,
TotalEnzyme,
NumberOfRuns,
ThresholdGuess,
GDPrecision,
GDNumberOfSteps,
GDdtCutoff
)
Arguments
NumberOfEnzymes
integer number of enzymes used in pathway
TotalEnzyme
total enzyme
NumberOfRuns
integer number of runs
GDPrecision
a float number
GDNumberOfSteps
number of steps taken
ThreshholdGuess
a vector
Value
SolutionVector
genehackers/optizyme documentation built on Oct. 24, 2020, 9 a.m.
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Description Usage Arguments Value
Description
This function optimizes enzyme ratios for a cell-free system.
Usage
1 2 3 4 5 6 7 8 9 | MCGD(
NumberOfEnzymes,
TotalEnzyme,
NumberOfRuns,
ThresholdGuess,
GDPrecision,
GDNumberOfSteps,
GDdtCutoff
)
|
Arguments
NumberOfEnzymes |
integer number of enzymes used in pathway |
TotalEnzyme |
total enzyme |
NumberOfRuns |
integer number of runs |
GDPrecision |
a float number |
GDNumberOfSteps |
number of steps taken |
ThreshholdGuess |
a vector |
Value
SolutionVector
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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