createAndRunILP: Creating and running the ILP problem.

In CellNOptR: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Description

This function takes as an input the cno inputs (model + data) together with CPLEX parameters and then solves the ILP problem.

Usage

createAndRunILP <- function(model = model, 
                            midas = midas, 
                            cnolist = cnolist, 
                            accountForModelSize = accountForModelSize, 
                            sizeFac = sizeFac, 
                            source_path = source_path, 
                            mipGap = mipGap, 
                            relGap = relGap, 
                            timelimit = timelimit,
                            cplexPath = cplexPath, 
                            method = method, 
                            numSolutions = numSolutions, 
                            limitPop = limitPop, 
                            poolIntensity = poolIntensity, 
                            poolReplace = poolReplace)

Arguments

model	the model
midas	the midas table
cnolist	the cnolist object
accountForModelSize	the verbose parameter whether to account for model size
sizeFac	the size penalty factor
source_path	the source path
mipGap	the mipgap
relGap	the relGap
timelimit	the timelimit
cplexPath	the cplex solver path
method	the optimization method (quadratic/linear)
numSolutions	the number of desired solutions
limitPop	the limitPop
poolIntensity	the poolIntensity
poolReplace	the poolReplace

Author(s)

E Gjerga, H Koch

CellNOptR documentation built on Nov. 8, 2020, 6:58 p.m.