fgga
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see fgga.
Hierarchical ensemble method based on factor graph
Bioconductor version: 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>
citation("fgga")):
Installation
To install this package, start R (version "4.4") 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 | ||
| NEWS | Text |
Details
| biocViews | Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine |
| Version | 1.12.0 |
| In Bioconductor since | BioC 3.13 (R-4.1) (3.5 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_1.12.0.tar.gz |
| Windows Binary (x86_64) | fgga_1.12.0.zip |
| macOS Binary (x86_64) | fgga_1.12.0.tgz |
| macOS Binary (arm64) | fgga_1.12.0.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 | https://bioconductor.org/packages/fgga/ |
| Package Downloads Report | Download Stats |