DNEA
This is the released version of DNEA; for the devel version, see DNEA.
Differential Network Enrichment Analysis for Biological Data
Bioconductor version: Release (3.22)
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("DNEA")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DNEA")
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("DNEA")
Details
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Follow Installation instructions to use this package in your R session.