Untargeted metabolomics makes it possible to identify compounds that undergo significant
changes in concentration in different experimental conditions. The resulting metabolomic …

In order to characterize and benchmark computational hardware, software, and algorithms, it
is essential to have many problem instances on-hand. This is no less true for quantum …

The analysis of a variety of data sets (transcriptome arrays, phylogenetic profiles, etc.) yields
groups of functionally related genes. In order to determine their biological function …

Motivation: Subgraph extraction is a powerful technique to predict pathways from biological
networks and a set of query items (eg genes, proteins, compounds, etc.). It can be applied to …

In the study of small and large networks it is customary to perform a simple random walk
where the random walker jumps from one node to one of its neighbors with uniform …

Complex traits and diseases like human height or cancer are often not caused by a single
mutation or genetic variant, but instead arise from functional changes in the underlying …

The emergence of mining complex networks like social media, sensor networks, and the
world-wide-web has attracted considerable research interest. In a streaming scenario, the …

We present an extension to literature-based discovery that goes beyond making discoveries
to a principled way of navigating through selected aspects of some biomedical domain. The …

Probing the dynamic control features of biological networks represents a new frontier in
capturing the dysregulated pathways in complex diseases. Here, using patient samples …

The profusion of high-throughput instruments and the explosion of new results in the
scientific literature, particularly in molecular biomedicine, is both a blessing and a curse to …