Introduction | Installation | Quick Start | Detailled example | Default parameters
Package: CNORfuzzy 1.55.0
T. Cokelaer
CNORfuzzy: Addon to CellNOptR: Fuzzy Logic
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).
Authors:
CNORfuzzy_1.55.0.tar.gz
CNORfuzzy_1.55.0.zip(r-4.7)CNORfuzzy_1.55.0.zip(r-4.6)CNORfuzzy_1.55.0.zip(r-4.5)
CNORfuzzy_1.55.0.tgz(r-4.6-x86_64)CNORfuzzy_1.55.0.tgz(r-4.6-arm64)CNORfuzzy_1.55.0.tgz(r-4.5-x86_64)CNORfuzzy_1.55.0.tgz(r-4.5-arm64)
CNORfuzzy_1.55.0.tar.gz(r-4.7-arm64)CNORfuzzy_1.55.0.tar.gz(r-4.7-x86_64)CNORfuzzy_1.55.0.tar.gz(r-4.6-arm64)CNORfuzzy_1.55.0.tar.gz(r-4.6-x86_64)
CNORfuzzy_1.55.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CNORfuzzy/json (API)
| # Install 'CNORfuzzy' in R: |
| install.packages('CNORfuzzy', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:CNORfuzzy-1.55.0(bioc 3.24)CNORfuzzy-1.54.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0e58dc01ca. Checks:1 FAILURE, 11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | FAILURE | 155 | ||
| linux-devel-arm64 | NOTE | 184 | ||
| linux-devel-x86_64 | NOTE | 237 | ||
| source / vignettes | OK | 198 | ||
| linux-release-arm64 | NOTE | 188 | ||
| linux-release-x86_64 | NOTE | 178 | ||
| macos-release-arm64 | NOTE | 108 | ||
| macos-release-x86_64 | NOTE | 293 | ||
| macos-oldrel-arm64 | NOTE | 119 | ||
| macos-oldrel-x86_64 | NOTE | 213 | ||
| windows-devel | NOTE | 148 | ||
| windows-release | NOTE | 124 | ||
| windows-oldrel | NOTE | 147 | ||
| wasm-release | OK | 153 |
Exports:CNORwrapFuzzycompileMultiRescomputeScoreFuzzydefaultParametersFuzzygaDiscreteT1getRefinedModelinterpretDiscreteGAplotMeanFuzzyFitprep4simFuzzyreduceFuzzysimFuzzyT1writeFuzzyNetwork
Dependencies:base64encBHBiocGenericsbitopsbslibcachemCellNOptRclicpp11digestevaluatefarverfastmapfontawesomefsgenericsggplot2gluegraphgtablehighrhtmltoolsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimenloptrpkgconfigR6rappdirsRBGLRColorBrewerRCurlRgraphvizrlangrmarkdownS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R version of CNOFuzzy, a Constrained Fuzzy Logic Network Optimisation | CNORfuzzy-package CNORfuzzy |
| CNORfuzzy analysis wrapper | CNORwrapFuzzy |
| Compiles results from multiple runs and produces graph for choosing Post Refinement Threshold | compileMultiRes |
| Compute Score of a model compared to the data for a given intString. | computeScoreFuzzy |
| Create a list of default parameters | defaultParametersFuzzy |
| Genetic algorithm used to optimise a cFL model | gaDiscreteT1 |
| Refinement of Parameters of cFL model | getRefinedModel |
| Interpreter of output of discrete genetic algorithm | interpretDiscreteGA |
| Simulates models returned from multiple cFL runs and plots mean fit to data | plotMeanFuzzyFit |
| Prepare a model for simulation | prep4simFuzzy |
| Remove unnecessary interactions from cFL model | reduceFuzzy |
| Simulation of a cFL model | simFuzzyT1 |
| Despict the network results of training a cFL model to data in multiple runs. | writeFuzzyNetwork |