https://chrispatsalis.r-universe.devRecent package updates in chrispatsalisR-universehttps://github.com/chrispatsalis.pnghttps://chrispatsalis.r-universe.devTue, 28 Apr 2026 13:05:05 GMTchrispatsalis@gmail.com (Christopher Patsalis)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.https://github.com/r-universe/bioc/actions/runs/35839104160Tue, 28 Apr 2026 13:05:05 GMTDNEA1.3.0successhttps://bioc.r-universe.devhttps://github.com/bioc/DNEADNEA.RmdDNEA.htmlDifferential Network Expression Analysis for Metabolomics Data2023-08-23 21:41:242025-04-23 19:52:07