Usporedite metode

	Analiza obogaćenja genskih skupova (GSEA)	Multi-omski obogaćujuća analiza genskih skupova
Područje	Bioinformatika	Bioinformatika
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	2005 (seminal PNAS paper; predecessor concept in Mootha et al. 2003)	2005 (GSEA foundation); multi-omics extensions ~2013–2020
Tvorac	Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Jill P. Mesirov, Todd R. Golub, Eric S. Lander et al. (Broad Institute)	Extended from Subramanian et al. (2005); multi-omics integration formalized ~2010s
Vrsta	Functional genomics / enrichment analysis	Integrative enrichment analysis pipeline
Temeljni izvor	Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., & Mesirov, J. P. (2005). Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences, 102(43), 15545–15550.	Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., & Mesirov, J. P. (2005). Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proceedings of the National Academy of Sciences, 102(43), 15545–15550.
Drugi nazivi	GSEA, gene-set analysis, functional enrichment analysis, pathway-level enrichment	multi-omics GSEA, integrated GSEA, cross-omics pathway enrichment, multi-layer GSEA
Srodne	5	6
Sažetak	Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether a predefined set of genes — representing a biological pathway, process, or function — shows statistically significant, coordinated differences between two biological conditions. Unlike simple fold-change filtering, GSEA operates on all measured genes ranked by a correlation metric, detecting subtle but consistent shifts across an entire pathway even when no single gene passes a significance threshold.	Multi-omics gene set enrichment analysis (multi-omics GSEA) is a computational pipeline that applies GSEA logic simultaneously across two or more molecular measurement layers — such as transcriptomics, proteomics, and metabolomics — to identify biological pathways or gene sets that are coordinately dysregulated across omics platforms. By integrating ranked molecular signatures from each layer, it reveals pathway-level convergence that no single omics platform could detect alone.