… methods. In this paper, two types of prediction methods based on static network protein com…
Secondly, we discuss the deficiencies of protein complex algorithms and the challenges of …

… Protein complex prediction based on k-connected subgraphs in protein interaction network.
… orthologs flexibly combining a Recursive and a Markov clustering algorithms. Bioinformatics…

… molecule, but are usually caused by dysfunction of related whole regulation network (Zhang,
2016a, b). In a network, a single molecule is a network node. So even a single molecule …

Aim at the problem that lower-order Markov random field (MRF) model is inefficient to capture
the rich prior knowledge of nature images which may bring out error image segmentation …

The biosafety of nanoparticles is gaining extensive attention due to their dichotomous effects
in fields of biomedicine and atmospheric chemistry. A number of studies have been carried …

… Degree distribution of the query–query protein–protein interaction network in (a) peripheral
blood mononuclear cells (PBMCs) and (b) pancreatic β-cells. P(k) = k –λ , where P(k) is a …

… collected protein-protein interaction … algorithms, design a new graph clustering algorithm
to update the central point in the high density region in order to obtain more effective clustering …

… discovering the protein community in large-scale protein-protein interaction(PPI) networks. …
-betweenness clustering algorithm has been applied to discover the protein community widely…