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 …

Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Motivation: Small-induced subgraphs called graphlets are emerging as a possible tool for
exploration of global and local structure of networks and for analysis of roles of individual …

The study of network structure has uncovered signatures of the organization of complex
systems. However, there is also a need to understand how to control them; for example …

Motivation: With increasing availability of temporal real-world networks, how to efficiently
study these data? One can model a temporal network as a single aggregate static network …

The fast increase of 'multi-omics' data does not only pose a computational challenge for its
analysis but also requires novel algorithmic methodologies to identify complex biological …

Background Understanding the relationship between diseases based on the underlying
biological mechanisms is one of the greatest challenges in modern biology and medicine …

Network alignment can be used to transfer functional knowledge between conserved
regions of different networks. Existing methods use a node cost function (NCF) to compare …

Motivation: Because susceptibility to diseases increases with age, studying aging gains
importance. Analyses of gene expression or sequence data, which have been …

Background Epigenetics refers to the reversible functional modifications of the genome that
do not correlate to changes in the DNA sequence. The aim of this study is to understand …