fgga
This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see fgga.
Hierarchical ensemble method based on factor graph
Bioconductor version: 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("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")| FGGA: Factor Graph GO Annotation | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.13 (R-4.1) (3 years) |
| License | GPL-3 |
| Depends | R (>= 4.1), RBGL |
| Imports | graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl |
| System Requirements | |
| URL | https://github.com/fspetale/fgga |
See More
| Suggests | knitr, rmarkdown, GOstats, PerfMeas, GO.db, BiocGenerics |
| 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_1.2.0.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 |
| 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 3.14 | Source Archive |