reduceFuzzy

Threshold for removing or replacing and edge.  If the score doesn't get any worse than this, its removed or replaced

firstCutOff

a CNOlist on which the score is based (based on
      <code>valueSignals[[2]]</code>, i.e. data at t1)

CNOlist

Model input into <a rd-options="" href="/link/gaDiscreteT1?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::gaDiscreteT1">gaDiscreteT1</a> (uncut)

model

parameters (as generated from <a rd-options="" href="/link/defaultParametersFuzzy?package=CNORfuzzy&version=1.14.0" data-mini-rdoc="CNORfuzzy::defaultParametersFuzzy">defaultParametersFuzzy</a> (only Fuzzy parameters required)

params

Determine if interactions in cFL model are necessary to fit the data

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

reduceFuzzy function

Model input into <a href="gaDiscreteT1" rd-options="">gaDiscreteT1</a> (uncut)

parameters (as generated from <a href="defaultParametersFuzzy" rd-options="">defaultParametersFuzzy</a> (only Fuzzy parameters required)

reduceFuzzy: Remove unnecessary interactions from cFL model

Description

Usage

Arguments

Value

Details

See Also