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 …

Measuring the semantic similarity between Gene Ontology (GO) terms is an essential step in
functional bioinformatics research. We implemented a software named GOGO for calculating …

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

Identifying disease genes from a vast amount of genetic data is one of the most challenging
tasks in the post-genomic era. Also, complex diseases present highly heterogeneous …

Background Predicting protein function has become increasingly demanding in the era of
next generation sequencing technology. The task to assign a curator-reviewed function to …

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 …

Identification of potential virus–host interactions is useful and vital to control the highly
infectious virus-caused diseases. This may contribute toward development of new drugs to …

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

Motivation: Several measures have been recently proposed for quantifying the functional
similarity between gene products according to well-structured controlled vocabularies where …

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 …