Bioconductor Developer Survey 2026 Now Open!

omicsGMF

This is the released version of omicsGMF; for the devel version, see omicsGMF.

All versions 3.24 (devel), 3.23 (release), 3.22

Dimensionality reduction of (single-cell) omics data in R using omicsGMF


Bioconductor version: Release (3.23)

omicsGMF is a Bioconductor package that uses the sgdGMF-framework of the \code{sgdGMF} package for highly performant and fast matrix factorization that can be used for dimensionality reduction, visualization and imputation of omics data. It considers data from the general exponential family as input, and therefore suits the use of both RNA-seq (Poisson or Negative Binomial data) and proteomics data (Gaussian data). It does not require prior transformation of counts to the log-scale, because it rather optimizes the deviances from the data family specified. Also, it allows to correct for known sample-level and feature-level covariates, therefore enabling visualization and dimensionality reduction upon batch correction. Last but not least, it deals with missing values, and allows to impute these after matrix factorization, useful for proteomics data. This Bioconductor package allows input of SummarizedExperiment, SingleCellExperiment, and QFeature classes.

Author: Alexandre Segers [aut, cre, fnd], Cristian Castiglione [ctb], Christophe Vanderaa [ctb], Davide Risso [ctb, fnd], Lieven Clement [ctb, fnd]

Maintainer: Alexandre Segers <alexandresegers at outlook.com>

Citation (from within R, enter citation("omicsGMF")):

Alexandre Segers. omicsGMF: Dimensionality reduction of (single-cell) omics data in R using omicsGMF. doi:10.18129/B9.bioc.omicsGMF, R package version 1.2.0, https://bioconductor.org/packages/omicsGMF.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("omicsGMF")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("omicsGMF")
Proteomics-vignette: omicsGMF HTML R Script
RNASeq-vignette: omicsGMF HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataRepresentation, DimensionReduction, GeneExpression, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization
Version1.2.0
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License Artistic-2.0
Depends R (>= 4.5.0), sgdGMF, SingleCellExperiment, scuttle, scater
Imports stats, utils, Matrix, S4Vectors, SummarizedExperiment, DelayedArray, MatrixGenerics, BiocSingular, BiocParallel, beachmat, ggplot2, methods, QFeatures
System Requirements
URLhttps://github.com/statOmics/omicsGMF
Bug Reportshttps://github.com/statOmics/omicsGMF/issues
See More
Suggests knitr, dplyr, testthat, BiocGenerics, BiocStyle, graphics, grDevices
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package omicsGMF_1.2.0.tar.gz
Windows Binary (x86_64) omicsGMF_1.2.0.zip
macOS Binary (big-sur-x86_64) omicsGMF_1.2.0.tgz
macOS Binary (sonoma-arm64) omicsGMF_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/omicsGMF
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/omicsGMF
Package Short Url https://bioconductor.org/packages/omicsGMF/
Package Downloads ReportDownload Stats