Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Pascal Belleau, Astrid Deschênes, Martial Boutchueng-Djidjou, Robert L. Faure 2018. Validating that a specific subnetwork has significantly more interactions than expected by randomness. protocols.io https://dx.doi.org/10.17504/protocols.io.sdqea5wCopy Citation Copied
URL: https://dx.doi.org/DOI:10.17504/protocols.io.sdqea5w
Authors: Pascal Belleau, Astrid Deschênes, Martial Boutchueng-Djidjou, Robert L. Faure
Summary: Network science is a cross-disciplinary domain that focuses on the representation, analysis and modeling of complex systems as networks or graphs. In computational biology, Cytoscape is a very popular open source software platform for network modeling and visualization. As an example, Cytoscape can be used to identify disease modules which are defined as connected subnetworks showing mechanistic evidence for a specific phenotype.In the context of a new subnetwork identification, it is of interest to have access to measures of connectivity that help to assess the probability that this subnetwork could arise by chance.The R subnetsim package uses bootstrapping to test the hypothesis that a specific subnetwork is more connected than randomly generated subnetworks with the same number of nodes.Three measures of connectivity are validated by the R subnetsim package: - the number of nodes in the subnetwork including all the first-degree neighbor nodes - the number of links in the subnetwork including all the links of the first-degree neighbor nodes - the number of links in the subnetworkThe R subnetsim package also offers the possibility to easily graph the results of the simulations.This protocol provides the detailed method of a simulation analysis done on a specific subnetwork. To do so, the global subnetwork, from which the subnetwork is extracted, is needed in SIF format file.
Associated Publications: Boutchueng-Djidjou M, Belleau P, Bilodeau N, Fortier S, Bourassa S, Droit A, Elowe S, Faure RL (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
Affiliations: Cold Spring Harbor Laboratory, Cold Spring Harbor Laboratory, H. Lee Moffit Cancer Center and Research Institut, Université Laval
External URL: https://doi.org/10.1371/journal.pone.0205180
Version: 1
Publication Date: 2018
Expand AllComing soon.
Source: