fgga

DOI: 10.18129/B9.bioc.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 (3.19)

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 "4.4") 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

PDF		Reference Manual

Details

biocViews	Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version	1.11.0
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
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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