fgga

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see fgga.

Hierarchical ensemble method based on factor graph


Bioconductor version: 3.14

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>

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

Installation

To install this package, start R (version "4.1") 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

Details

biocViews Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version 1.2.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.1), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
System Requirements
URL https://github.com/fspetale/fgga
See More
Suggests knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
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Build Report Build Report

Package Archives

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

Source Package fgga_1.2.0.tar.gz
Windows Binary fgga_1.2.0.zip
macOS 10.13 (High Sierra) fgga_1.2.0.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
Old Source Packages for BioC 3.14 Source Archive