Analysis of Sex Differences in Omics Data for Complex Diseases R package XYomics version 0.1.5 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. Software Depends: R (>= 3.6) Imports: limma, igraph, edgeR, SeuratObject, Seurat, data.table, ggplot2, tidyr, grid, ggraph, dplyr, AnnotationDbi, ggrepel, Rcpp, cowplot, patchwork, methods, DESeq2, S4Vectors, clusterProfiler LinkingTo: Rcpp, BH Suggests: R.utils, DT, gridExtra, knitr, htmltools, kableExtra, rmarkdown, stringr, ReactomePA, org.Hs.eg.db, MAST Enrico Glaab <enrico.glaab@uni.lu> Comprehensive R Archive Network (CRAN) Enrico Glaab [aut, cre], Sophie Le Bars [aut], Mohamed Soudy [aut], Murodzhon Akhmedov [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=XYomics/LICENSE) 2026-07-30 application/tgz https://CRAN.R-project.org/package=XYomics doi:10.32614/CRAN.package.XYomics