Using effective subnetworks to predict selected properties of gene networks.

ABSTRACT:

Background

Difficulties associated with implementing gene therapy are caused by the complexity of the underlying regulatory networks. The forms of interactions between the hundreds of genes, proteins, and metabolites in these networks are not known very accurately. An alternative approach is to limit consideration to genes on the network. Steady state measurements of these influence networks can be obtained from DNA microarray experiments. However, since they contain a large number of nodes, the computation of influence networks requires a prohibitively large set of microarray experiments. Furthermore, error estimates of the network make verifiable predictions impossible.

Methodology/principal findings

Here, we propose an alternative approach. Rather than attempting to deriv

SUBMITTER: Gunaratne GH 

PROVIDER: S-EPMC2951892 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature