Journal
NATURE REVIEWS GENETICS
Volume 18, Issue 9, Pages 551-562Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/nrg.2017.38
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Funding
- NCI NIH HHS [U24 CA211000] Funding Source: Medline
- NHGRI NIH HHS [R01 HG007069] Funding Source: Medline
- NIGMS NIH HHS [P41 GM103504] Funding Source: Medline
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Biological networks are powerful resources for the discovery of genes and genetic modules that drive disease. Fundamental to network analysis is the concept that genes underlying the same phenotype tend to interact; this principle can be used to combine and to amplify signals from individual genes. Recently, numerous bioinformatic techniques have been proposed for genetic analysis using networks, based on random walks, information diffusion and electrical resistance. These approaches have been applied successfully to identify disease genes, genetic modules and drug targets. In fact, all these approaches are variations of a unifying mathematical machinery - network propagation - suggesting that it is a powerful data transformation method of broad utility in genetic research.
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