fgga
Hierarchical ensemble method based on factor graph
Bioconductor version: 3.24 · Package version: 1.21.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("fgga")Details
| Maintainer | Flavio Spetale <spetale@cifasis-conicet.gov.ar> |
| Author | Flavio Spetale [aut, cre] |
| License | GPL-3 |
| URL | https://github.com/fspetale/fgga |
| Downloads rank | 393 |
| Source branch | devel |
| biocViews | Classification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | fgga_1.21.0.tar.gz |
| Windows binary (x86_64) | fgga_1.21.0.zip |
| macOS binary (arm64) | fgga_1.21.0.tgz |
| macOS binary (x86_64) | fgga_1.21.0.tgz |