Learn R Programming

CNORfuzzy (version 1.14.0)

Addon to CellNOptR: Fuzzy Logic

Description

This package is an extension to CellNOptR. It contains additional functionality needed to simulate and train a prior knowledge network to experimental data using constrained fuzzy logic (cFL, rather than Boolean logic as is the case in CellNOptR). Additionally, this package will contain functions to use for the compilation of multiple optimization results (either Boolean or cFL).

Copy Link

Version

Version

1.14.0

License

GPL-2

Maintainer

T Cokelaer

Last Published

February 15th, 2017

Functions in CNORfuzzy (1.14.0)

CNORfuzzy-package

R version of CNOFuzzy, a Constrained Fuzzy Logic Network Optimisation
simFuzzyT1

Simulation of a cFL model
computeScoreFuzzy

Compute Score of a model compared to the data for a given intString.
writeFuzzyNetwork

Despict the network results of training a cFL model to data in multiple runs.
gaDiscreteT1

Genetic algorithm used to optimise a cFL model
defaultParametersFuzzy

Create a list of default parameters
interpretDiscreteGA

Interpreter of output of discrete genetic algorithm
CNORwrapFuzzy

CNORfuzzy analysis wrapper
getRefinedModel

Refinement of Parameters of cFL model
prep4simFuzzy

Prepare a model for simulation
compileMultiRes

Compiles results from multiple runs and produces graph for choosing Post Refinement Threshold
plotMeanFuzzyFit

Simulates models returned from multiple cFL runs and plots mean fit to data
reduceFuzzy

Remove unnecessary interactions from cFL model