getRefinedModel

Optimum returned by <a rd-options="" href="/link/gaDiscreteT1?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::gaDiscreteT1">gaDiscreteT1</a>

a CNOlist on which the score is based (based on valueSignals[[2]], i.e. data at T1)

CNOlist

Model (with unnesssary edges cut in <a rd-options="" href="/link/reduceFuzzy?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::reduceFuzzy">reduceFuzzy</a> or <a rd-options="" href="/link/interpretDiscreteGA?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::interpretDiscreteGA">interpretDiscreteGA</a>

cutModel

Fields for simulation based on cutModel (again, cut with reduceFuzzy or interpretDiscreteGA)

cutSimList

parameter list object as returned by <a rd-options="" href="/link/defaultParametersFuzzy?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::defaultParametersFuzzy">defaultParametersFuzzy</a>.

refParams

Performs refinement of cFL model parameters

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).

T Cokelaer

CNORfuzzy

Addon to CellNOptR: Fuzzy Logic

getRefinedModel function

Optimum returned by <a href="gaDiscreteT1" rd-options="">gaDiscreteT1</a>

Model (with unnesssary edges cut in <a href="reduceFuzzy" rd-options="">reduceFuzzy</a> or <a href="interpretDiscreteGA" rd-options="">interpretDiscreteGA</a>

parameter list object as returned by <a href="defaultParametersFuzzy" rd-options="">defaultParametersFuzzy</a>.

getRefinedModel: Refinement of Parameters of cFL model

Description

Usage

Arguments

Value

Details

See Also