Many computational approaches developed to identify protein complexes in protein-protein
interaction (PPI) networks perform their tasks based only on network topologies. The …

Motivation: Protein complexes are important for understanding principles of cellular
organization and function. High-throughput experimental techniques have produced a large …

Nowadays, cluster analysis of biological networks has become one of the most important
approaches to identifying functional modules as well as predicting protein complexes and …

Abstract Background Protein-protein interactions (PPIs) are a critical component for many
underlying biological processes. A PPI network can provide insight into the mechanisms of …

The emergence of high-throughput technologies leads to abundant protein-protein
interaction (PPI) data and microarray gene expression profiles, and provides a great …

Background Protein complexes can be identified from the protein interaction networks
derived from experimental data sets. However, these analyses are challenging because of …

The protein interaction network presents one perspective for understanding cellular
processes. Recent experiments employing high‐throughput mass spectrometric …

In network and systems medicine, active module identification methods (AMIMs) are widely
used for discovering candidate molecular disease mechanisms. To this end, AMIMs …

Many bioinformatics methods have been proposed for reducing the complexity of large gene
or protein networks into relevant subnetworks or modules. Yet, how such methods compare …