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fgga

Hierarchical ensemble method based on factor graph


Bioconductor version: Release (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")

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 1.10.2
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.3), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl, igraph
System Requirements
URL https://github.com/fspetale/fgga
See More
Suggests knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package fgga_1.10.2.tar.gz
Windows Binary fgga_1.10.2.zip (64-bit only)
macOS Binary (x86_64) fgga_1.10.2.tgz
macOS Binary (arm64) fgga_1.10.2.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 3.18 Source Archive