In recent years, ontologies have become a mainstream topic in biomedical research. When
biological entities are described using a common schema, such as an ontology, they can be …

Although our knowledge of human diseases has increased dramatically, the molecular
basis, phenotypic traits, and therapeutic targets of most diseases still remain unclear. An …

Artificial Intelligence federates numerous scientific fields in the aim of develo** machines
able to assist human operators performing complex treatments---most of which demand high …

Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and
physical sciences. There have been many studies in the literature targeted at studying and …

Background Several semantic similarity measures have been applied to gene products
annotated with Gene Ontology terms, providing a basis for their functional comparison …

Ontologies are widely adopted in the biomedical domain to characterize various resources
(eg diseases, drugs, scientific publications) with non-ambiguous meanings. By exploiting the …

Many bioinformatics applications would benefit from comparing proteins based on their
biological role rather than their sequence. This paper adds two new contributions. First, a …

Background Semantic similarity measures are useful to assess the physiological relevance
of protein-protein interactions (PPIs). They quantify similarity between proteins based on …

Background With the increased availability of high throughput data, such as DNA microarray
data, researchers are capable of producing large amounts of biological data. During the …

Advances in high‐throughput experimental techniques in the past decade have enabled the
explosive increase of omics data, while effective organization, interpretation, and exchange …