So sánh phương pháp

	Phân tích đa dạng vi khuẩn chí dựa trên mạng lưới	Phân tích làm giàu đường dẫn dựa trên mạng lưới
Lĩnh vực	Tin sinh học	Tin sinh học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2012	2002 (seminal network-scoring concept); matured 2010–2015
Người khởi xướng	Faust, Raes, Friedman, Alm and colleagues	Ideker, Ozier, Schwikowski, and Siegel (network-based scoring); extended by Vaske et al. (PARADIGM) and others
Loại	Integrative bioinformatics pipeline	Pathway enrichment and network analysis method
Công trình gốc	Friedman, J., & Alm, E. J. (2012). Inferring correlation networks from genomic survey data. PLoS Computational Biology, 8(9), e1002687.	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.
Tên gọi khác	microbial co-occurrence network analysis, microbiome network ecology, ecological network-based diversity, NBMDA	network pathway enrichment, network-based enrichment, topology-based pathway analysis, NBPEA
Liên quan	5	1
Tóm tắt	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.