DOI: 10.18129/B9.bioc.fgga    

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see fgga.

Hierarchical ensemble method based on factor graph

Bioconductor version: 3.14

Package that implements the FGGA algorithm. This package provides a hierarchical ensemble method based ob factor graphs for the consistent GO annotation of protein coding genes. FGGA embodies elements of predicate logic, communication theory, supervised learning and inference in graphical models.

Author: Spetale Flavio [aut, cre], Elizabeth Tapia [aut, ctb]

Maintainer: Spetale Flavio <spetale at cifasis-conicet.gov.ar>

Citation (from within R, enter citation("fgga")):


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if (!require("BiocManager", quietly = TRUE))


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HTML R Script FGGA: Factor Graph GO Annotation
PDF   Reference Manual
Text   NEWS


biocViews Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version 1.2.0
In Bioconductor since BioC 3.13 (R-4.1) (1 year)
License GPL-3
Depends R (>= 4.1), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
Suggests knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics
URL https://github.com/fspetale/fgga
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package fgga_1.2.0.tar.gz
Windows Binary fgga_1.2.0.zip
macOS 10.13 (High Sierra) fgga_1.2.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fgga
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fgga
Package Short Url https://bioconductor.org/packages/fgga/
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