XYomics: Analysis of Sex Differences in Omics Data for Complex Diseases

Tools to analyze sex differences in omics data for complex diseases. It includes functions for differential expression analysis using the 'limma' method <doi:10.1093/nar/gkv007>, interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' <doi:10.1089/omi.2011.0118>, and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.

Version: 0.1.1
Depends: R (≥ 3.6)
LinkingTo: Rcpp
Published: 2025年11月13日
Author: Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph]
Maintainer: Enrico Glaab <enrico.glaab at uni.lu>
License: MIT + file LICENSE
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: README
CRAN checks: XYomics results

Documentation:

Reference manual: XYomics.html , XYomics.pdf

Downloads:

Package source: XYomics_0.1.1.tar.gz
Windows binaries: r-devel: XYomics_0.1.1.zip, r-release: XYomics_0.1.1.zip, r-oldrel: XYomics_0.1.1.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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