Background The accurate identification of protein complexes is important for the
understanding of cellular organization. Up to now, computational methods for protein …

Background Protein complexes are one of the keys to deciphering the behavior of a cell
system. During the past decade, most computational approaches used to identify protein …

Protein complex detection from protein–protein interaction (PPI) network has received a lot
of focus in recent years. A number of methods identify protein complexes as dense sub …

Protein complexes are one most important kind of functional modules for biological
processes in cells. In this regard, their detection is vital for understanding the principle of cell …

In this paper, we present a method based on local density and random walks (LDRW) for
core-attachment complexes detection in protein-protein interaction (PPI) networks whether …

Detection of protein complexes is very important to understand the principles of cellular
organization and function. Recently, large protein–protein interactions (PPIs) networks have …

Background Predicting protein complexes from protein-protein interaction (PPI) networks
has been studied for decade. Various methods have been proposed to address some …

Identifying protein complexes within Protein-Protein Interaction Networks (PPINs) is an
important task in computational biology for analyzing biological processes and pathways. A …

Background How to detect protein complexes is an important and challenging task in post
genomic era. As the increasing amount of protein-protein interaction (PPI) data are …

Abstract Background Protein-protein interactions (PPIs) play fundamental roles in nearly all
biological processes. The systematic analysis of PPI networks can enable a great …