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fgga

Hierarchical ensemble method based on factor graph

Bioconductor version: 3.23 · Package version: 1.20.0

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

MaintainerFlavio Spetale <spetale@cifasis-conicet.gov.ar>
AuthorFlavio Spetale [aut, cre]
LicenseGPL-3
URLhttps://github.com/fspetale/fgga
Downloads rank240
Source branchRELEASE_3_23
biocViewsClassification, GO, GraphAndNetwork, Network, NetworkInference, Software, StatisticalMethod, SupportVectorMachine

Documentation

Download

Dependencies

Depends: R (>= 4.3), RBGL

Imports: graph, stats, e1071, methods, gRbase, jsonlite, BiocFileCache, curl, igraph

Suggests: knitr, rmarkdown, GOstats, GO.db, BiocGenerics, pROC, RUnit, BiocStyle