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fgga

This is the development version of fgga; for the stable release version, see fgga.

Hierarchical ensemble method based on factor graph

Bioconductor version: Development (3.18)

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")):

Installation

To install this package, start R (version "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.9.0
In Bioconductor since BioC 3.13 (R-4.1) (2 years)
License GPL-3
Depends R (>= 4.2), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
Linking To
Suggests knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit, BiocStyle
System Requirements
Enhances
URL https://github.com/fspetale/fgga
See More
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_1.9.0.tar.gz
Windows Binary fgga_1.9.0.zip
macOS Binary (x86_64) fgga_1.9.0.tgz
macOS Binary (arm64) fgga_1.9.0.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