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:Flavio Spetale [aut, cre]

fgga_1.15.0.tar.gz
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fgga.pdf |fgga.html
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NEWS

# Install 'fgga' in R:
install.packages('fgga', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/fspetale/fgga/issues

Datasets:
  • 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

4.65 score 3 stars 6 scripts 141 downloads 13 exports 55 dependencies

Last updated 21 days agofrom:df196425be. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:createFoldsfggafgga2bipartitefHierarchicalMeasuresfMeasuresfMeasuresByLevelmaxDistancegraphOntomsgFGGApreCoreFGsvmOntosvmTraintableTPGvarianceOnto

Dependencies:askpassBHBiocFileCacheBiocGenericsbitbit64blobcachemclassclicpp11curlDBIdbplyrdplyre1071fansifastmapfilelockgenericsgluegraphgRbasehttrigraphjsonlitelatticelifecyclemagrittrMASSMatrixmemoisemimeopensslpillarpkgconfigplogrproxypurrrR6RBGLRcppRcppArmadilloRcppEigenrlangRSQLitestringistringrsystibbletidyrtidyselectutf8vctrswithr

FGGA: Factor Graph GO Annotation

Rendered fromfgga.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-08-17
Started: 2021-04-26