We develop a framework that uses Web content to obtain quantitative information about a
phenomenon that would otherwise require the operation of large scale, expensive …

Background Databases are fundamental to advance biomedical science. However, most of
them are populated and updated with a great deal of human effort. Biomedical Relation …

Motivation Disease gene prioritization consists in identifying genes that are likely to be
involved in the mechanisms of a given disease, providing a ranking of such genes. Recently …

Motivation Gene–disease associations are fundamental for understanding disease etiology
and developing effective interventions and treatments. Identifying genes not yet associated …

Cancer prevention is one of the most pressing challenges that public health needs to face. In
this regard, data-driven research is central to assist medical solutions targeting cancer. To …

In mammals, the brain serves as the centralised control and processor of information.
Humans boast a proportionally larger and more-developed brain, hypothesised to underlie …

There are a great number of complex relations among different characters in an opera.
Retrieving such relations is crucial for performers and audience to accurately understand the …

Deep learning has been extensively utilized in the domains of bioinformatics and
chemoinformatics, yielding compelling results. However, neural networks have …

Abstract We introduce the Collaborative Oriented Relation Extraction (CORE) system for
Knowledge Base Construction, based on the combination of Relation Extraction (RE) …

EDITOR'S SUMMARY Text and data mining have proven to greatly impact the world of
biomedical research, especially for Roche Diagnostics in Penzberg, Germany. Taking …