A simple knowledge-based mining method for exploring hidden key molecules in a human biomolecular network.

ABSTRACT:

Background

In the functional genomics analysis domain, various methodologies are available for interpreting the results produced by high-throughput biological experiments. These methods commonly use a list of genes as an analysis input, and most of them produce a more complicated list of genes or pathways as the results of the analysis. Although there are several network-based methods, which detect key nodes in the network, the results tend to include well-studied, major hub genes.

Results

To mine the molecules that have biological meaning but to fewer degrees than major hubs, we propose, in this study, a new network-based method for selecting these hidden key molecules based on virtual information flows circulating among the input list of genes. The human biomolecular netwo

SUBMITTER: Tsuji S 

PROVIDER: S-EPMC3740779 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature