Bioconductor version: Release (3.17)
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")
):
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.
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 |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine |
Version | 1.8.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (2.5 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, BiocStyle |
SystemRequirements | |
Enhances | |
URL | https://github.com/fspetale/fgga |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | fgga_1.8.0.tar.gz |
Windows Binary | fgga_1.8.0.zip |
macOS Binary (x86_64) | fgga_1.8.0.tgz |
macOS Binary (arm64) | fgga_1.8.0.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 3.17 | Source Archive |
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