fgga

DOI: 10.18129/B9.bioc.fgga  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see fgga.

Hierarchical ensemble method based on factor graph

Bioconductor version: 3.17

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>

Installation

To install this package, start R (version "4.3") 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	1.8.0
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
LinkingTo
Suggests	knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit, BiocStyle
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_1.8.0.tar.gz
Windows Binary	fgga_1.8.0.zip
macOS Binary (x86_64)	fgga_1.8.0.tgz
macOS Binary (arm64)	fgga_1.8.0.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/
Package Downloads Report	Download Stats