@article{emmert-streib_gene_2014,
	title = {Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks.},
	volume = {2},
	issn = {2296-634X},
	doi = {10.3389/fcell.2014.00038},
	abstract = {In recent years gene regulatory networks (GRNs) have attracted a lot of interest and many methods have been introduced for their statistical inference from gene  expression data. However, despite their popularity, GRNs are widely misunderstood.  For this reason, we provide in this paper a general discussion and perspective of  gene regulatory networks. Specifically, we discuss their meaning, the consistency  among different network inference methods, ensemble methods, the assessment of GRNs,  the estimated number of existing GRNs and their usage in different application  domains. Furthermore, we discuss open questions and necessary steps in order to  utilize gene regulatory networks in a clinical context and for personalized  medicine.},
	language = {eng},
	journal = {Frontiers in cell and developmental biology},
	author = {Emmert-Streib, Frank and Dehmer, Matthias and Haibe-Kains, Benjamin},
	year = {2014},
	pmid = {25364745},
	pmcid = {PMC4207011},
	keywords = {biomarker, computational genomics, gene regulatory networks, network analysis, personalized medicine, statistical inference, systems biology},
	pages = {38},
}

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