Package: CNORfeeder 1.47.0
Attila Gabor
CNORfeeder: Integration of CellNOptR to add missing links
This package integrates literature-constrained and data-driven methods to infer signalling networks from perturbation experiments. It permits to extends a given network with links derived from the data via various inference methods and uses information on physical interactions of proteins to guide and validate the integration of links.
Authors:
CNORfeeder_1.47.0.tar.gz
CNORfeeder_1.47.0.zip(r-4.5)CNORfeeder_1.47.0.zip(r-4.4)CNORfeeder_1.47.0.zip(r-4.3)
CNORfeeder_1.47.0.tgz(r-4.4-any)CNORfeeder_1.47.0.tgz(r-4.3-any)
CNORfeeder_1.47.0.tar.gz(r-4.5-noble)CNORfeeder_1.47.0.tar.gz(r-4.4-noble)
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CNORfeeder.pdf |CNORfeeder.html✨
CNORfeeder/json (API)
NEWS
| # Install 'CNORfeeder' in R: |
| install.packages('CNORfeeder', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- PPINigraph - Protein-protein interaction netwrok
- UniprotIDdream - Uniprot identifiers for proteins in DreamModel
- cnolist - CNOlist
- cnolist - CNOlist
- database - OmniPath PPI
- feederObject - Feeder Object
- indices - Mis-fit indices
- integratedModel - Integrated Model
- model - Prior Knowledge Network
- model - Prior Knowledge Network
- simData - CNORode simuation data
On BioConductor:CNORfeeder-1.47.0(bioc 3.21)CNORfeeder-1.46.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
cellbasedassayscellbiologyproteomicsnetworkinference
Last updated 23 days agofrom:cc61372516. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win | WARNING | Nov 02 2024 |
| R-4.5-linux | WARNING | Nov 02 2024 |
| R-4.4-win | WARNING | Nov 02 2024 |
| R-4.4-mac | WARNING | Nov 02 2024 |
| R-4.3-win | WARNING | Nov 02 2024 |
| R-4.3-mac | WARNING | Nov 02 2024 |
Exports:BinferencebuildFeederObjectDynamicgaBinaryT1WidentifyMisfitIndicesintegrateLinkslinksRankingmakeBTablesmapBTables2modelmapDDN2modelMIinferencerunDynamicFeederweighting
Dependencies:base64encBHBiocGenericsbitopsbslibcachemCellNOptRclicolorspacecpp11digestevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegraphgtablehighrhtmltoolsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRBGLRColorBrewerRCurlRgraphvizrlangrmarkdownsassscalesstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunXMLyaml
