Identifying disease-specific genes based on their topological significance in protein networks.

ABSTRACT:

Background

The identification of key target nodes within complex molecular networks remains a common objective in scientific research. The results of pathway analyses are usually sets of fairly complex networks or functional processes that are deemed relevant to the condition represented by the molecular profile. To be useful in a research or clinical laboratory, the results need to be translated to the level of testable hypotheses about individual genes and proteins within the condition of interest.

Results

In this paper we describe novel computational methodology capable of predicting key regulatory genes and proteins in disease- and condition-specific biological networks. The algorithm builds shortest path network connecting condition-specific genes (e.g. differentially e

SUBMITTER: Dezso Z 

PROVIDER: S-EPMC2678983 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature