Exceptional Edges matrices from "Guilt by Association" Is the Exception Rather Than the Rule in Gene NetworksGillis, J. and Pavlidis, P. (2012) PLoS Computational Biology, 8 (3).
TL;DRAbstract
These are the interaction matrices, with each gene replaced by a score indicating its agregate exceptionality. The underlying data (which gives criticality for each GO group, as opposed to an aggregate score) is some gigabytes large. The exceptionality matrices are sufficient to replicate almost all the results of the paper (but, unfortunately, doesn’t let one examine the criticality of individual GO subnetworks).
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These are the interaction matrices, with each gene replaced by a score indicating its agregate exceptionality. The underlying data (which gives criticality for each GO group, as opposed to an aggregate score) is some gigabytes large. The exceptionality matrices are sufficient to replicate almost all the results of the paper (but, unfortunately, doesn’t let one examine the criticality of individual GO subnetworks).
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