Genes that are thought to be critical for the survival of organisms or cells are called essential
genes. The prediction of essential genes and their products (essential proteins) is of great …

In the post-genomic era, proteomics has achieved significant theoretical and practical
advances with the development of high-throughput technologies. Especially the rapid …

In the big data era, the relationship between entries becomes more and more complex.
Many graph (or network) algorithms have already paid attention to dynamic networks, which …

The rapid development of proteomics and high-throughput technologies has produced a
large amount of Protein-Protein Interaction (PPI) data, which makes it possible for …

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

Detection of temporal protein complexes would be a great aid in furthering our knowledge of
the dynamic features and molecular mechanism in cell life activities. Most existing clustering …

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

Constructing dynamic protein interaction networks (DPIN) is a common way to improve
identification accuracy of essential proteins. The existing methods usually aggregate DPIN …

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 …

Background The identification of essential proteins can help in understanding the minimum
requirements for cell survival and development to discover drug targets and prevent …