fgga

DOI:10.18129/B9.bioc.fgga

Hierarchical ensemble method based on factor graph

Bioconductor version: Release (3.16)

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

Installation

To install this package, start R (version "4.2") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("fgga")

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

Details

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Version	1.6.0
In Bioconductor since	BioC 3.13 (R-4.1) (1.5 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
SystemRequirements
Enhances
URL	https://github.com/fspetale/fgga
Depends On Me
Imports Me
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Build Report

Package Archives

Followbob 体育网址 instructions to use this package in your R session.

Source Package	fgga_1.6.0.tar.gz
Windows Binary	fgga_1.6.0.zip
macOS Binary (x86_64)	fgga_1.6.0.tgz
macOS Binary (arm64)	fgga_1.6.0.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	//www.anjoumacpherson.com/packages/fgga/
Package Downloads Report	Download Stats