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.">

XYomics: Analysis of Sex Differences in Omics Data for Complex Diseases (original) (raw)

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)
Imports: limma, igraph, edgeR, Seurat, SeuratObject, clusterProfiler, org.Hs.eg.db, ReactomePA, data.table, ggplot2, tidyr, grid, ggraph, dplyr, ggrepel, scales, Rcpp, methods
LinkingTo: Rcpp
Suggests: R.utils, DT, gridExtra, knitr, htmltools, kableExtra, rmarkdown, stringr
Published: 2025-11-13
DOI: 10.32614/CRAN.package.XYomics
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
Copyright: see file
NeedsCompilation: yes
Materials: README
CRAN checks: XYomics results

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