مقایسهٔ روشها
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| تحلیل تنوع میکروبیوم مبتنی بر شبکه× | تحلیل غنیسازی مسیر مبتنی بر شبکه× | |
|---|---|---|
| حوزه | زیستاطلاعاتی | زیستاطلاعاتی |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 2012 | 2002 (seminal network-scoring concept); matured 2010–2015 |
| پدیدآور≠ | Faust, Raes, Friedman, Alm and colleagues | Ideker, Ozier, Schwikowski, and Siegel (network-based scoring); extended by Vaske et al. (PARADIGM) and others |
| نوع≠ | Integrative bioinformatics pipeline | Pathway enrichment and network analysis method |
| منبع بنیادین≠ | Friedman, J., & Alm, E. J. (2012). Inferring correlation networks from genomic survey data. PLoS Computational Biology, 8(9), e1002687. DOI ↗ | Ideker, T., Ozier, O., Schwikowski, B., & Siegel, A. F. (2002). Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics, 18(suppl_1), S233–S240. link ↗ |
| نامهای دیگر | microbial co-occurrence network analysis, microbiome network ecology, ecological network-based diversity, NBMDA | network pathway enrichment, network-based enrichment, topology-based pathway analysis, NBPEA |
| مرتبط≠ | 5 | 1 |
| خلاصه≠ | Network-based microbiome diversity analysis integrates graph-theoretic co-occurrence network inference with classical alpha- and beta-diversity metrics to characterize the structural organization of microbial communities. Rather than treating taxa as independent entities, the method models pairwise microbial associations as edges in a network, enabling identification of keystone taxa, community modules, and ecological interaction patterns that simple diversity indices cannot detect. | Network-based pathway enrichment analysis integrates molecular interaction networks — protein-protein interactions, signalling graphs, or gene regulatory networks — with omics measurements to identify biological pathways that are coordinately altered in a condition. Unlike classical over-representation or gene-set enrichment approaches that treat pathway genes as independent lists, this family of methods propagates signals across network edges, capturing the topology of interactions and uncovering dysregulated modules that flat-list enrichment would miss. |
| ScholarGateمجموعهداده ↗ |
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