fgga
This is thereleased version of fgga; for the devel version, seefgga.
Hierarchical ensemble method based on factor graph
Bioconductor version: Release (3.22)
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 "4.5") 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
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 | 1.18.0 |
| In Bioconductor since | BioC 3.13 (R-4.1) (4.5 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
FollowInstallation instructions to use this package in your R session.
| Source Package | fgga_1.18.0.tar.gz |
| Windows Binary (x86_64) | fgga_1.18.0.zip |
| macOS Binary (x86_64) | fgga_1.18.0.tgz |
| macOS Binary (arm64) | fgga_1.18.0.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 |