Bioconductor 3.22 Released

DNEA

This is the development version of DNEA; for the stable release version, see DNEA.

Differential Network Enrichment Analysis for Biological Data


Bioconductor version: Development (3.23)

The DNEA R package is the latest implementation of the Differential Network Enrichment Analysis algorithm and is the successor to the Filigree Java-application described in Iyer et al. (2020). The package is designed to take as input an m x n expression matrix for some -omics modality (ie. metabolomics, lipidomics, proteomics, etc.) and jointly estimate the biological network associations of each condition using the DNEA algorithm described in Ma et al. (2019). This approach provides a framework for data-driven enrichment analysis across two experimental conditions that utilizes the underlying correlation structure of the data to determine feature-feature interactions.

Author: Christopher Patsalis [cre, aut] ORCID iD ORCID: 0009-0003-4585-0017 , Gayatri Iyer [aut], Alla Karnovsky [fnd] (NIH_GRANT: 1U01CA235487), George Michailidis [fnd] (NIH_GRANT: 1U01CA235487)

Maintainer: Christopher Patsalis <chrispatsalis at gmail.com>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DNEA")

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

Documentation

Reference Manual PDF

Details

biocViews Clustering, DataImport, DifferentialExpression, Lipidomics, Metabolomics, Network, NetworkEnrichment, Proteomics, Software
Version 1.1.0
In Bioconductor since BioC 3.22 (R-4.5) (< 6 months)
License MIT + file LICENSE
Depends R (>= 4.2)
Imports BiocParallel, dplyr, gdata, glasso, igraph (>= 2.0.3), janitor, Matrix, methods, netgsa, stats, stringr, utils, SummarizedExperiment
System Requirements
URL https://github.com/Karnovsky-Lab/DNEA
Bug Reports https://github.com/Karnovsky-Lab/DNEA/issues
See More
Suggests BiocStyle, ggplot2, Hmisc, kableExtra, knitr, pheatmap, rmarkdown, testthat (>= 3.0.0), withr, airway
Linking To
Enhances massdataset
Depends On Me
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/DNEA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DNEA
Package Short Url https://bioconductor.org/packages/DNEA/
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