Editing Network theory (section)

===Biological network analysis===
{{see also|Metabolic network|proteome|metabolome|omics}}
With the recent explosion of publicly available high throughput [[biological data]], the analysis of molecular networks has gained significant interest.<ref>{{cite journal | vauthors = Habibi I, Emamian ES, Abdi A | title = Advanced fault diagnosis methods in molecular networks | journal = PLOS ONE | volume = 9 | issue = 10 | pages = e108830 | date = 2014-10-07 | pmid = 25290670 | pmc = 4188586 | doi = 10.1371/journal.pone.0108830 | doi-access = free | bibcode = 2014PLoSO...9j8830H }}</ref> The type of analysis in this context is closely related to social network analysis, but often focusing on local patterns in the network. For example, [[network motif]]s are small subgraphs that are over-represented in the network. Similarly, [[Network motif#Activity motifs|activity motifs]] are patterns in the attributes of nodes and edges in the network that are over-represented given the network structure. Using networks to analyze patterns in biological systems, such as food-webs, allows us to visualize the nature and strength of interactions between species. The analysis of [[biological network]]s with respect to diseases has led to the development of the field of [[network medicine]].<ref>{{cite journal | vauthors = Barabási AL, Gulbahce N, Loscalzo J | title = Network medicine: a network-based approach to human disease | journal = Nature Reviews. Genetics | volume = 12 | issue = 1 | pages = 56–68 | date = January 2011 | pmid = 21164525 | pmc = 3140052 | doi = 10.1038/nrg2918 }}</ref>  Recent examples of application of network theory in biology include applications to understanding the [[cell cycle]]<ref>{{cite journal | vauthors = Jailkhani N, Ravichandran S, Hegde SR, Siddiqui Z, Mande SC, Rao KV | title = Delineation of key regulatory elements identifies points of vulnerability in the mitogen-activated signaling network | journal = Genome Research | volume = 21 | issue = 12 | pages = 2067–2081 | date = December 2011 | pmid = 21865350 | pmc = 3227097 | doi = 10.1101/gr.116145.110 }}</ref> as well as a quantitative framework for developmental processes.<ref>{{cite journal | vauthors = Jackson MD, Duran-Nebreda S, Bassel GW | title = Network-based approaches to quantify multicellular development | journal = Journal of the Royal Society, Interface | volume = 14 | issue = 135 | pages = 20170484 | date = October 2017 | pmid = 29021161 | pmc = 5665831 | doi = 10.1098/rsif.2017.0484 }}</ref>