International audienceMotivation - Metabolomics studies aim at reporting a metabolic signature (list of metabolites) related to a particular experimental condition. These signatures are instrumental in the identification of biomarkers or classification of individuals, however their biological and physiological interpretation remains a challenge. To support this task, we introduce FORUM: a Knowledge Graph (KG) providing a semantic representation of relations between chemicals and biomedical concepts, built from a federation of life science databases and scientific literature repositories. Results - The use of a Semantic Web framework on biological data allows us to apply ontological-based reasoning to infer new relations between entities. We...
The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations...
With the rapid development of bibliographical data of biomedical articles, it is hard for scientists...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
International audienceMotivation - Metabolomics studies aim at reporting a metabolic signature (list...
Abstract Metabolomics studies aim at reporting a metabolic signature (list of metabolites) related t...
Metabolomics aims at determining metabolic profiles, describing the impact on metabolism of an exper...
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from...
Abstract Background Semantic Web Technology (SWT) makes it possible to integrate and search the larg...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Motivation: Many complex diseases are the result of abnormal pathway functions instead of single abn...
Biomedical knowledge graphs, which can help with the understanding of complex biological systems and...
Developing an effective model for predicting risks of a disease requires exploration of a vast body ...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations...
With the rapid development of bibliographical data of biomedical articles, it is hard for scientists...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
International audienceMotivation - Metabolomics studies aim at reporting a metabolic signature (list...
Abstract Metabolomics studies aim at reporting a metabolic signature (list of metabolites) related t...
Metabolomics aims at determining metabolic profiles, describing the impact on metabolism of an exper...
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from...
Abstract Background Semantic Web Technology (SWT) makes it possible to integrate and search the larg...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Motivation: Many complex diseases are the result of abnormal pathway functions instead of single abn...
Biomedical knowledge graphs, which can help with the understanding of complex biological systems and...
Developing an effective model for predicting risks of a disease requires exploration of a vast body ...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
The article describes a knowledge-poor approach to the task of extracting Chemical-Disease Relations...
With the rapid development of bibliographical data of biomedical articles, it is hard for scientists...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...