fgga

This is the released version of fgga; for the devel version, see fgga.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Hierarchical ensemble method based on factor graph

Bioconductor version: Release (3.23)

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")):

Flavio Spetale. fgga: Hierarchical ensemble method based on factor graph. doi:10.18129/B9.bioc.fgga, R package version 1.20.0, https://bioconductor.org/packages/fgga.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("fgga")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("fgga")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version	1.20.0
In Bioconductor since	BioC 3.13 (R-4.1) (5.5 years)
License	GPL-3
Depends	R (>= 4.3), RBGL
Imports	graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl, igraph
System Requirements
URL	https://github.com/fspetale/fgga

Suggests	knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	fgga_1.20.0.tar.gz
Windows Binary (x86_64)	fgga_1.20.0.zip
macOS Binary (big-sur-x86_64)	fgga_1.20.0.tgz
macOS Binary (sonoma-arm64)	fgga_1.20.0.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/
Package Downloads Report	Download Stats