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 …

The integration of proteomics data with biological knowledge is a recent trend in
bioinformatics. A lot of biological information is available and is spread on different sources …

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

Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

Semantic measures are widely used today to estimate the strength of the semantic
relationship between elements of various types: units of language (eg, words, sentences …

Motivation: Compared with sequence and structure similarity, functional similarity is more
informative for understanding the biological roles and functions of genes. Many important …

Abstract Background The Gene Ontology (GO) is a well known controlled vocabulary
describing the biological process, molecular function and cellular component aspects of …

Background Explicit comparisons based on the semantic similarity of Gene Ontology terms
provide a quantitative way to measure the functional similarity between gene products and …

Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities
annotated with GO terms, by leveraging on the ontology structure and properties and on …

Protein subcellular localization prediction, as an essential step to elucidate the functions in
vivo of proteins and identify drugs targets, has been extensively studied in previous …