The R subnetsim package implements a simulation analysis, based on bootstrapping, for testing the hypothesis that a selected subnetwork, which is part of a larger network, has more interactions than expected by randomness. To do so, subnetworks with the same number of nodes than the tested subnetwork are randomly generated by bootstrapping. Three measures of connectivity used to validate the hypothesis are:
The R subnetsim package also offers the possibility to easily graph the results of the simulations.
If you use this package for a publication, we would ask you to cite the following:
Belleau P, DeschĂȘnes A, Boutchueng-Djidjou M et Faure R L. Validating that a specific subnetwork has significantly more interactions than expected by randomness. protocols.io. DOI: 10.17504/protocols.io.sdqea5w, https://dx.doi.org/10.17504/protocols.io.sdqea5w
Boutchueng-Djidjou M, Belleau P, Bilodeau N, Fortier S, Bourassa S, Droit A, Elowe S, et Faure R L. (2018) A type 2 diabetes disease module with a high collective influence for Cdk2 and PTPLAD1 is localized in endosomes. PLoS ONE 13(10): e0205180. DOI: 10.1371/journal.pone.0205180, https://doi.org/10.1371/journal.pone.0205180
Pascal Belleau, Astrid DeschĂȘnes, Martial Boutchueng-Djidjou and Robert L. Faure
This package and the underlying subnetsim code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.
For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0
If you have any bugs or feature requests, let us know.
Thanks!
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