DOI: 10.18129/B9.bioc.fgga  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see fgga.

Hierarchical ensemble method based on factor graph

Bioconductor version: 3.16

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.

Author: Flavio Spetale [aut, cre]

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

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


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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 1.6.0
In Bioconductor since BioC 3.13 (R-4.1) (2 years)
License GPL-3
Depends R (>= 4.2), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
Suggests knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit
URL https://github.com/fspetale/fgga
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package fgga_1.6.0.tar.gz
Windows Binary fgga_1.6.0.zip
macOS Binary (x86_64) fgga_1.6.0.tgz
macOS Binary (arm64) fgga_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/fgga
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fgga
Bioc Package Browser https://code.bioconductor.org/browse/fgga/
Package Short Url https://bioconductor.org/packages/fgga/
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