Effective identification of conserved pathways in biological networks using hidden Markov models.

ABSTRACT:

Background

The advent of various high-throughput experimental techniques for measuring molecular interactions has enabled the systematic study of biological interactions on a global scale. Since biological processes are carried out by elaborate collaborations of numerous molecules that give rise to a complex network of molecular interactions, comparative analysis of these biological networks can bring important insights into the functional organization and regulatory mechanisms of biological systems.

Methodology/principal findings

In this paper, we present an effective framework for identifying common interaction patterns in the biological networks of different organisms based on hidden Markov models (HMMs). Given two or more networks, our method efficiently finds the top ma

SUBMITTER: Qian X 

PROVIDER: S-EPMC2782142 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature