Low back pain is a highly prevalent, chronic, and costly medical condition predominantly
triggered by intervertebral disc degeneration (IDD). IDD is often caused by structural and …

Graph is a well known data structure to represent the associated relationships in a variety of
applications, eg, data science and machine learning. Despite a wealth of existing efforts on …

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 …

Sequence comparison and alignment has had an enormous impact on our understanding of
evolution, biology and disease. Comparison and alignment of biological networks will …

Important biological information is encoded in the topology of biological networks.
Comparative analyses of biological networks are proving to be valuable, as they can lead to …

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 …

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 …

Biological network alignment aims to find regions of topological and functional (dis)
similarities between molecular networks of different species. Then, network alignment can …

Graphlet analysis is a useful tool for describing local network topology around individual
nodes or edges. A node or an edge can be described by a vector containing the counts of …