The book's core argument is that an artificial intelligence that could equal or exceed human
intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical …

Motivation Infectious diseases caused by novel viruses have become a major public health
concern. Rapid identification of virus–host interactions can reveal mechanistic insights into …

Background Biomedical translational science is increasingly using computational reasoning
on repositories of structured knowledge (such as UMLS, SemMedDB, ChEMBL, Reactome …

Motivation Over the past years, many computational methods have been developed to
incorporate information about phenotypes for disease–gene prioritization task. These …

Motivation Quantifying the associations between diseases is of great significance in
increasing our understanding of disease biology, improving disease diagnosis, re …

Abstract Background Head and Neck Cancer (HNC) has a high incidence and prevalence in
the worldwide population. The broad terminology associated with these diseases and their …

The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2
virus. Rapid, accurate, and consistent interpretation of generated data is thereby of …

Knowledge Representation and Reasoning is the most important objective of the Semantic
Web. The Web of Data visualizes its contents as prospective, structured, organized …

Identifying and distinguishing cancer driver genes among thousands of candidate mutations
remains a major challenge. Accurate identification of driver genes and driver mutations is …

We aim to quantitatively predict protein semantic similarities (PSS), which is vital to making
biological discoveries. Previously, researchers commonly exploited Gene Ontology (GO) …