Cellular processes often depend on stable physical associations between proteins. Despite
recent progress, knowledge of the composition of human protein complexes remains limited …

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 …

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

Motivation: Automatically quantifying semantic similarity and relatedness between clinical
terms is an important aspect of text mining from electronic health records, which are …

Protein function prediction is a complex multiclass multilabel classification problem,
characterized by multiple issues such as the incompleteness of the available annotations …

Motivation Protein subcellular localization prediction has been an important research topic
in computational biology over the last decade. Various automatic methods have been …

Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores,
which incorporate biological knowledge embedded in the GO structure for comparing or …

The rapid development of high-throughput technology has generated a large number of
biological networks. Network-based methods are able to provide rich information for …

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 …