fgga

DOI: 10.18129/B9.bioc.fgga    

Hierarchical ensemble method based on factor graph

Bioconductor version: Release (3.15)

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>

Installation

To install this package, start R (version "4.2") 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")

 

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

Details

biocViews	Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version	1.4.0
In Bioconductor since	BioC 3.13 (R-4.1) (1.5 years)
License	GPL-3
Depends	R (>= 4.1), RBGL
Imports	graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
LinkingTo
Suggests	knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics
SystemRequirements
Enhances
URL	https://github.com/fspetale/fgga
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	fgga_1.4.0.tar.gz
Windows Binary	fgga_1.4.0.zip
macOS Binary (x86_64)	fgga_1.4.0.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