Package: fgga 1.15.0
Flavio Spetale
fgga: Hierarchical ensemble method based on factor graph
Package that implements the FGGA algorithm. This package provides a hierarchical ensemble method based ob factor graphs for the consistent cross-ontology annotation of protein coding genes. FGGA embodies elements of predicate logic, communication theory, supervised learning and inference in graphical models.
Authors:
fgga_1.15.0.tar.gz
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fgga.pdf |fgga.html✨
fgga/json (API)
NEWS
| # Install 'fgga' in R: |
| install.packages('fgga', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fspetale/fgga/issues
- CfData - A set of characterized protein coding genes from the Cannis familiaris organism annotated to a target GO subgraph considering both experimental and electronic evidence.
On BioConductor:fgga-1.15.0(bioc 3.21)fgga-1.14.0(bioc 3.20)
softwarestatisticalmethodclassificationnetworknetworkinferencesupportvectormachinegraphandnetworkgo
Last updated 2 months agofrom:df196425be. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 19 2024 |
| R-4.5-win | OK | Dec 19 2024 |
| R-4.5-linux | OK | Dec 19 2024 |
| R-4.4-win | OK | Dec 19 2024 |
| R-4.4-mac | OK | Dec 19 2024 |
| R-4.3-win | OK | Dec 19 2024 |
| R-4.3-mac | OK | Dec 19 2024 |
Exports:createFoldsfggafgga2bipartitefHierarchicalMeasuresfMeasuresfMeasuresByLevelmaxDistancegraphOntomsgFGGApreCoreFGsvmOntosvmTraintableTPGvarianceOnto
Dependencies:askpassBHBiocFileCacheBiocGenericsbitbit64blobcachemclassclicpp11curlDBIdbplyrdplyre1071fansifastmapfilelockgenericsgluegraphgRbasehttrigraphjsonlitelatticelifecyclemagrittrMASSMatrixmemoisemimeopensslpillarpkgconfigplogrproxypurrrR6RBGLRcppRcppArmadilloRcppEigenrlangRSQLitestringistringrsystibbletidyrtidyselectutf8vctrswithr
