Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Analýza metabolomiky založená na sítích× | Analýza obohacení genových sad (GSEA)× | |
|---|---|---|
| Obor | Bioinformatika | Bioinformatika |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2005–2011 | 2005 (seminal PNAS paper; predecessor concept in Mootha et al. 2003) |
| Tvůrce≠ | Barabasi, Loscalzo and colleagues (network medicine framework); Wishart and Xia (metabolomics network tools) | Aravind Subramanian, Pablo Tamayo, Vamsi K. Mootha, Jill P. Mesirov, Todd R. Golub, Eric S. Lander et al. (Broad Institute) |
| Typ≠ | Systems biology / omics analysis pipeline | Functional genomics / enrichment analysis |
| Původní zdroj≠ | Xia, J., & Wishart, D. S. (2010). MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data. Nucleic Acids Research, 38(Web Server issue), W71–W77. link ↗ | 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 ↗ |
| Další názvy | metabolic network analysis, systems metabolomics, network metabolomics, metabolite network enrichment | GSEA, gene-set analysis, functional enrichment analysis, pathway-level enrichment |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | Network-based metabolomics analysis integrates quantitative metabolite profiling data with biological network structures — metabolic pathways, protein-metabolite interaction graphs, and disease networks — to reveal coordinated biochemical disruptions that individual metabolite lists would miss. Rather than treating each metabolite in isolation, this systems-level approach identifies modules, hubs, and perturbed subnetworks, providing mechanistic insight into how metabolic dysregulation propagates through cellular systems. | 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. |
| ScholarGateDatová sada ↗ |
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