fgga

DOI: 10.18129/B9.bioc.fgga    

Hierarchical ensemble method based on factor graph

Bioconductor version: Release (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")

 

HTML R Script FGGA: Factor Graph GO Annotation
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine
Version 1.2.0
In Bioconductor since BioC 3.13 (R-4.1) (1 year)
License GPL-3
Depends R (>= 4.1), RBGL
Imports graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl
LinkingTo
Suggests knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics
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 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
Package Short Url https://bioconductor.org/packages/fgga/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.14 Source Archive

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