categoryCompare

categoryCompare is a novel methodology designed to enhance the analysis of high-throughput omics data by focusing on the annotation level rather than solely on individual feature levels like expression values. This approach allows for cross-platform and cross-sample comparisons, addressing the challenge of identifying robust biomarkers amidst the heterogeneity of measurement platforms and the variability of biological systems. Unlike traditional methods that require identical features across datasets and focus on differential expression to identify biomarkers, categoryCompare explores the involvement of common biological processes or signaling pathways, even when individual features differ or are not differentially expressed across datasets.