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 , interaction testing between sex and disease, pathway enrichment with 'clusterProfiler' , and gene regulatory network (GRN) construction and analysis using 'igraph'. The package enables a reproducible workflow from raw data processing to biological interpretation.