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dc.contributor.authorBarzel, Baruchen_US
dc.contributor.authorBarabási, Albert-Lászlóen_US
dc.date.accessioned2014-03-11T13:53:36Z
dc.date.issued2013en_US
dc.identifier.citationBarzel, Baruch, and Albert-László Barabási. 2013. “Network link prediction by global silencing of indirect correlations.” Nature biotechnology 31 (8): 720-725. doi:10.1038/nbt.2601. http://dx.doi.org/10.1038/nbt.2601.en
dc.identifier.issn1087-0156en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11879863
dc.description.abstractPredicting physical and functional links between cellular components is a fundamental challenge of biology and network science. Yet, correlations, a ubiquitous input for biological link prediction, are affected by both direct and indirect effects, confounding our ability to identify true pairwise interactions. Here we exploit the fundamental properties of dynamical correlations in networks to develop a method to silence indirect effects. The method receives as input the observed correlations between node pairs and uses a matrix transformation to turn the correlation matrix into a highly discriminative silenced matrix, which enhances only the terms associated with direct causal links. Achieving perfect accuracy in model systems, we test the method against empirical data collected for the Escherichia coli regulatory interaction network, showing that it improves on the best preforming link prediction methods. Overall the silencing methodology helps translate the abundant correlation data into valuable local information, with applications ranging from link prediction to inferring the dynamical mechanisms governing biological networks.en
dc.language.isoen_USen
dc.relation.isversionofdoi:10.1038/nbt.2601en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740009/pdf/en
dash.licenseLAAen_US
dc.titleNetwork link prediction by global silencing of indirect correlationsen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalNature biotechnologyen
dash.depositing.authorBarzel, Baruchen_US
dc.date.available2014-03-11T13:53:36Z
dc.identifier.doi10.1038/nbt.2601*
dash.contributor.affiliatedBarzel, Baruch
dash.contributor.affiliatedBarabasi, Albert-Laszlo


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