Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Multi-omics gen-settberikningsanalyse× | Multi-omikk-anrikning av biologiske veier× | |
|---|---|---|
| Fagfelt | Bioinformatikk | Bioinformatikk |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 2005 (GSEA foundation); multi-omics extensions ~2013–2020 | 2014–2016 (multi-omics extension of enrichment methods established ~2005) |
| Opphavsperson≠ | Extended from Subramanian et al. (2005); multi-omics integration formalized ~2010s | Building on Subramanian et al. (2005); multi-omics integration formalised by Meng et al. and others (~2014–2016) |
| Type≠ | Integrative enrichment analysis pipeline | Integrative pathway analysis pipeline |
| Opprinnelig kilde≠ | 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. DOI ↗ | Meng, C., Kuster, B., Culhane, A. C., & Gholami, A. M. (2014). A multivariate approach to the integration of multi-omics datasets. BMC Bioinformatics, 15, 162. link ↗ |
| Alias | multi-omics GSEA, integrated GSEA, cross-omics pathway enrichment, multi-layer GSEA | multi-omics pathway analysis, integrated pathway enrichment, multi-layer pathway enrichment, MOPEA |
| Relaterte≠ | 6 | 1 |
| Sammendrag≠ | 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. | Multi-omics pathway enrichment analysis is a bioinformatics pipeline that integrates molecular data from two or more omics layers — such as transcriptomics, proteomics, metabolomics, and epigenomics — and tests whether the combined signal from those layers converges on specific biological pathways more than expected by chance. By considering multiple molecular levels simultaneously, it identifies pathway-level dysregulation that single-omics analyses would miss. |
| ScholarGateDatasett ↗ |
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