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library(CellNOptR)
library(CNORdt)
# data
data(CNOlistPB, package="CNORdt")
data(modelPB, package="CNORdt")
# pre-process model
model = preprocessing(CNOlistPB, modelPB)
# optimise
initBstring <- rep(1, length(model$reacID))
opt1 <- gaBinaryDT(CNOlist=CNOlistPB, model=model, initBstring=initBstring,
verbose=TRUE, boolUpdates=10, maxTime=60, lowerB=0.8, upperB=10)
cutAndPlotResultsDT(
model=model,
CNOlist=CNOlistPB,
bString=opt1$bString,
plotPDF=FALSE,
boolUpdates=10,
lowerB=0.8,
upperB=10
)
writeScaffold(
modelComprExpanded=model,
optimResT1=opt1,
optimResT2=NA,
modelOriginal=modelPB,
CNOlist=CNOlistPB
)
writeNetwork(
modelOriginal=modelPB,
modelComprExpanded=model,
optimResT1=opt1,
CNOlist=CNOlistPB
)
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