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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
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Build Report Build Report

Package Archives

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

Source Package fgga_1.10.2.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