Identification of functional modules using network topology and high-throughput data.

ABSTRACT:

Background

With the advent of systems biology, biological knowledge is often represented today by networks. These include regulatory and metabolic networks, protein-protein interaction networks, and many others. At the same time, high-throughput genomics and proteomics techniques generate very large data sets, which require sophisticated computational analysis. Usually, separate and different analysis methodologies are applied to each of the two data types. An integrated investigation of network and high-throughput information together can improve the quality of the analysis by accounting simultaneously for topological network properties alongside intrinsic features of the high-throughput data.

Results

We describe a novel algorithmic framework for this challenge. We first tr

SUBMITTER: Ulitsky I 

PROVIDER: S-EPMC1839897 | biostudies-literature | 2007 Jan

REPOSITORIES: biostudies-literature