Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Network modeling, from the ecological to the molecular scale has become an essential tool
for studying the structure, dynamics and complex behavior of living systems. Graph …

Many bioinformatics methods have been proposed for reducing the complexity of large gene
or protein networks into relevant subnetworks or modules. Yet, how such methods compare …

Detecting fuzzy communities in networks is a critical but challenging task in many fields
including biology, technology, social system and so on. Current technology is largely reliant …

The promise of big data is enormous and nowhere is it more critical than in its potential to
contain important, undiscovered interdependence among thousands of variables. Networks …

The presence of community structures in complex networks reveals meaningful insights
about such networks and their constituent entities. Finding groups of related nodes based on …

Clustering cells based on their high-dimensional profiles is an important data reduction
process by which researchers infer distinct cellular states. The advent of cellular barcoding …

Cellular biological networks represent the molecular interactions that shape function of living
cells. Uncovering the organization of a biological network requires efficient and accurate …

With the recent availability of tissue-specific gene expression data, eg, provided by the GTEx
Consortium, there is interest in comparing gene co-expression patterns across tissues. One …

Traditional Chinese medicine (TCM) formulas treat complex diseases through combined
botanical drugs which follow specific compatibility rules to reduce toxicity and increase …