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)
Imports:
limma,
igraph,
edgeR,
Seurat,
SeuratObject,
clusterProfiler,
org.Hs.eg.db,
ReactomePA,
data.table,
ggplot2,
tidyr, grid,
ggraph,
dplyr,
ggrepel,
scales,
Rcpp, methods
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>
NeedsCompilation:
yes
Documentation:
Downloads:
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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