Background Identifying periodically expressed genes across different processes (eg the cell
and metabolic cycles, circadian rhythms, etc) is a central problem in computational biology. …

Objective Bell’s palsy, named after the Scottish anatomist, Sir Charles Bell, is the most
common acute mono-neuropathy, or disorder affecting a single nerve, and is the most common …

With the Russian government hack of the Democratic National Convention email servers
and related leaks, the drama of the 2016 US presidential race highlights an important point: …

Understanding the large reaction networks found in biological systems is a daunting task.
One approach is to divide a network into more manageable smaller modules, thus simplifying …

Motivation: To discover and study periodic processes in biological systems, we sought to
identify periodic patterns in their gene expression data. We surveyed a large number of …

In December 2016, the US Department of Homeland Security disclosed that malicious software
(malware) found on a computer system owned by a Vermont utility called the Burlington …

Importance Optimal quarantine length for COVID-19 infection is unclear, in part owing to
limited empirical data. Objective To assess postquarantine transmission risk for various …

We present a novel approach, the Local Edge Machine, for the inference of regulatory
interactions directly from time-series gene expression data. We demonstrate its performance, …

Due to the variety and importance of roles performed by signalling networks, understanding
their function and evolution is of great interest. Signalling networks allow organisms to …

Objective Hippocampal demyelination, a common feature of postmortem multiple sclerosis (MS)
brains, reduces neuronal gene expression and is a likely contributor to the memory …