This is the development version of funOmics; for the stable release version, see funOmics.
Aggregating Omics Data into Higher-Level Functional RepresentationsBioconductor version: Development (3.22)
The 'funOmics' package ggregates or summarizes omics data into higher level functional representations such as GO terms gene sets or KEGG metabolic pathways. The aggregated data matrix represents functional activity scores that facilitate the analysis of functional molecular sets while allowing to reduce dimensionality and provide easier and faster biological interpretations. Coordinated functional activity scores can be as informative as single molecules!
Author: Elisa Gomez de Lope [aut, cre] ORCID: 0000-0002-7115-7393 , Enrico Glaab [ctb] ORCID: 0000-0003-3977-7469
Maintainer: Elisa Gomez de Lope <elisa.gomezdelope at uni.lu>
Citation (from within R, entercitation("funOmics")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("funOmics")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("funOmics")
Details biocViews GO, KEGG, Metabolomics, Pathways, Proteomics, Software, Transcriptomics Version 1.3.0 In Bioconductor since BioC 3.20 (R-4.4) (0.5 years) License MIT + file LICENSE Depends R (>= 4.4.0), NMF Imports NMF, pathifier, stats, KEGGREST, AnnotationDbi, org.Hs.eg.db, dplyr, stringr System Requirements URL https://github.com/elisagdelope/funomics Bug Reports https://github.com/elisagdelope/funomics/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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