DNEA
This is the development version of DNEA; to use it, please install the devel version of Bioconductor.
Differential Network Enrichment Analysis for Biological Data
Bioconductor version: Development (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]
, 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")
# 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DNEA")
DNEA | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Clustering, DataImport, DifferentialExpression, Lipidomics, Metabolomics, Network, NetworkEnrichment, Proteomics, Software |
Version | 0.99.12 |
In Bioconductor since | BioC 3.22 (R-4.5) |
License | MIT + file LICENSE |
Depends | R (>= 4.5.0) |
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 | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | DNEA_0.99.12.tar.gz |
Windows Binary (x86_64) | DNEA_0.99.12.zip |
macOS Binary (x86_64) | DNEA_0.99.12.tgz |
macOS Binary (arm64) | DNEA_0.99.12.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DNEA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DNEA |
Bioc Package Browser | https://code.bioconductor.org/browse/DNEA/ |
Package Short Url | https://bioconductor.org/packages/DNEA/ |
Package Downloads Report | Download Stats |