CNORbool {CellNOptR} | R Documentation

## Simple Boolean analysis standalone

### Description

This function performs the optimisation of a PKN model to a CNOlist data set. It optimises each time point found in the data and returns the processed model as well as a list of optimised bitstring corresponding to each time points that has been optimised.

This function does not create any plots or reports unlike `CNORwrap`.

### Usage

    CNORbool(CNOlist, model, paramsList=defaultParameters(),
        compression=TRUE, expansion=TRUE, cutNONC=TRUE, verbose=FALSE,
        timeIndices = NULL)

### Arguments

`CNOlist` | a CNOlist structure, as created by makeCNOlist or a MIDAS filename
`model` | a model structure, as created by readSIF or a SIF filename.
`paramsList` | Parameters of the genetic algorithm. If not provided, it is populated with the defaultParameters function.
`compression` | compress the model (default TRUE)
`expansion` | expand the gates (default TRUE)
`cutNONC` | cut the NONC nodes off the model by (default TRUE)
`verbose` | FALSE
`timeIndices` | by default, optimise T1 and T2 assuming there are the 2 first time points. However, with this argument you can change that behaviour to arbitrary time points.

### Value

This function returns 2 components. The first one is the processed model used in the optimisation. The second is a list of optimised bitstrings found for each time points available in the MIDAS data set.

### Author(s)

T.Cokelaer, S.Schrier

### Examples

    data(CNOlistToy,package="CellNOptR")
    data(ToyModel,package="CellNOptR")
    res = CNORbool(CNOlist=CNOlistToy, model=ToyModel)

[Package CellNOptR version 1.33.0 Index]