DOI: 10.18129/B9.bioc.fgga  

This is the development version of fgga; for the stable release version, see fgga.

Hierarchical ensemble method based on factor graph

Bioconductor version: Development (3.19)

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")):


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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biocViews Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version 1.11.0
In Bioconductor since BioC 3.13 (R-4.1) (2.5 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, BiocStyle
URL https://github.com/fspetale/fgga
Depends On Me
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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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