The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

The diversity of nodes in a complex network causes each node to have varying significance,
and the important nodes often have a significant impact on the structure and function of the …

Hypergraphs extend traditional graphs by allowing edges to connect multiple nodes, while
superhypergraphs further generalize this concept to represent even more complex …

Metabolomics comprises the methods and techniques that are used to measure the small
molecule composition of biofluids and tissues, and is actually one of the most rapidly …

Graph theory is afundamental branch of mathematicsthat studiesnetworksconsisting of
nodes (vertices) and their connections (edges). Extensive research has been conducted on …

With the emergence of data science, graph computing has become increasingly important
these days. Unfortunately, graph computing typically suffers from poor performance when …

As an effective modeling, analysis and computational tool, graph theory is widely used in
biological mathematics to deal with various biology problems. In the field of microbiology …

MetaboAnalyst is an integrated web-based platform for comprehensive analysis of
quantitative metabolomic data. It is designed to be used by biologists (with little or no …

Accumulated evidence suggested that gut microbial dysbiosis interplayed with progressive
chronic kidney disease (CKD). However, no available therapy is effective in suppressing …

Rapid technological advances have led to the production of different types of biological data
and enabled construction of complex networks with various types of interactions between …