sracipeNormalize: Normalize the simulated gene expression
In vivekkohar/sRACIPE: Systems biology tool to simulate gene regulatory circuits
Description
Usage
Arguments
Value
Related Functions
Examples
Description
Normalize the simulated gene expression including gene
expressions for stochastic and knockout simulations
Usage
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sracipeNormalize(.object)
## S4 method for signature 'RacipeSE'
sracipeNormalize(.object)
Arguments
.object
RacipeSE object
Value
A RacipeSE object
Related Functions
sracipeSimulate, sracipeKnockDown,
sracipeOverExp, sracipePlotData,
Examples
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data("demoCircuit")
rSet <- sRACIPE::sracipeSimulate(circuit = demoCircuit, numModels = 20,
integrateStepSize = 0.1, simulationTime = 30)
rSet <- sracipeNormalize(rSet)
vivekkohar/sRACIPE documentation built on March 21, 2021, 8:19 p.m.
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Description Usage Arguments Value Related Functions Examples
Description
Normalize the simulated gene expression including gene expressions for stochastic and knockout simulations
Usage
1 2 3 4 | sracipeNormalize(.object)
## S4 method for signature 'RacipeSE'
sracipeNormalize(.object)
|
Arguments
.object |
RacipeSE object |
Value
A RacipeSE object
Related Functions
sracipeSimulate, sracipeKnockDown,
sracipeOverExp, sracipePlotData,
Examples
1 2 3 4 | data("demoCircuit")
rSet <- sRACIPE::sracipeSimulate(circuit = demoCircuit, numModels = 20,
integrateStepSize = 0.1, simulationTime = 30)
rSet <- sracipeNormalize(rSet)
|
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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