Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data.

ABSTRACT: Extracting network-based functional relationships within genomic datasets is an important challenge in the computational analysis of large-scale data. Although many methods, both public and commercial, have been developed, the problem of identifying networks of interactions that are most relevant to the given input data still remains an open issue. Here, we have leveraged the method of random walks on graphs as a powerful platform for scoring network components based on simultaneous assessment of the experimental data as well as local network connectivity. Using this method, NetWalk, we can calculate distribution of Edge Flux values associated with each interaction in the network, which reflects the relevance of interactions based on the experimental data. We show that network-based analys

SUBMITTER: Komurov K 

PROVIDER: S-EPMC2924243 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature