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

Need some help? Ask on the Bioconductor Support site!

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

Suggests knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics

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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