Identifying essential proteins plays an important role in disease study, drug design, and
understanding the minimal requirement for cellular life. Computational methods for essential …

Decoding health and disease phenotypes is one of the fundamental objectives in
biomedicine. Whereas high-throughput omics approaches are available, it is evident that …

Background Short read DNA sequencing technologies have revolutionized genome
assembly by providing high accuracy and throughput data at low cost. But it remains …

The molecular interactions in a cell are varying with time and surrounded environmental
cues. The construction and analysis of dynamic molecular networks can elucidate dynamic …

Molecular interaction networks are routinely used to map the organization of cellular
function. Edges represent interactions between genes, proteins, or metabolites. However, in …

Background Identifying complexes from PPI networks has become a key problem to
elucidate protein functions and identify signal and biological processes in a cell. Proteins …

Protein–protein interaction (PPI) networks are dynamic in the real world. That is, at different
times and under different conditions, the interaction among proteins may or may not be …

The study of multilayer networks has received much attention in network science in recent
years. As a fundamental topic of network analysis, communities detection has been …

The identification of protein complexes is significant to understand the mechanisms of
cellular processes. Up to present, many methods on protein complex detection have been …

Detecting functional modules in Protein-Protein Interaction (PPI) networks is essential to
understand gene function, biological pathways and cellular organisation. Majority of …