An algorithm for score aggregation over causal biological networks based on random walk sampling.

ABSTRACT:

Background

We recently published in BMC Systems Biology an approach for calculating the perturbation amplitudes of causal network models by integrating gene differential expression data. This approach relies on the process of score aggregation, which combines the perturbations at the level of the individual network nodes into a global measure that quantifies the perturbation of the network as a whole. Such "bottom-up" aggregation relates the changes in molecular entities measured by omics technologies to systems-level phenotypes. However, the aggregation method we used is limited to a specific class of causal network models called "causally consistent", which is equivalent to the notion of balance of a signed graph used in graph theory. As a consequence of this limitation, our aggr

SUBMITTER: Vasilyev DM 

PROVIDER: S-EPMC4266947 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature