Add to ORKGAbstract. In this presentation, we review some examples of successful biomedical data integration projects in which ontologies play an important role, including the integration of genomic data based on Gene Ontology annotations, the cancer Biomedical Informatics Grid (caBIG) project, and semantic mashups created by the Semantic Web for Health Care and Life Sciences community.
After the completion of the Human Genome Project, a new, post genomic era, is beginning to analyze a...
Abstract: The recent achievements in the Human Genome Project have made possible a high-throughput “...
Successful biomedical data mining and information extraction require a complete picture of biologica...
Abstract. In this presentation, we review some examples of successful biomedical data integration pr...
The paper introduces basic features of a novel ontology integration framework that explicitly takes ...
Background A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to streng...
Technological advances of computer science and data analysis are helping to provide continuously hug...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
As the amount of biological information and its diversity accumulates massively there is a critical ...
In recent years ontologies have come to play an increasingly important role in the biomedical domain...
Biomedical ontologies exist to serve integration of clinical and experimental data, and it is critic...
The meeting focused on uses of ontologies, with a special focus on spatial ontologies, in addressing...
Abstract—Worldwide health scientists are producing, access-ing, analyzing, integrating, and storing ...
Ontologies are widely used in biological and biomedical research. Their success lies in their combin...
After the completion of the Human Genome Project, a new, post genomic era, is beginning to analyze a...
Abstract: The recent achievements in the Human Genome Project have made possible a high-throughput “...
Successful biomedical data mining and information extraction require a complete picture of biologica...
Abstract. In this presentation, we review some examples of successful biomedical data integration pr...
The paper introduces basic features of a novel ontology integration framework that explicitly takes ...
Background A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to streng...
Technological advances of computer science and data analysis are helping to provide continuously hug...
The past twenty years have witnessed an explosion of biological data in diverse database formats gov...
Abstract. Objectives: Biomedical ontologies exist to serve integration of clinical and experimental ...
As the amount of biological information and its diversity accumulates massively there is a critical ...
In recent years ontologies have come to play an increasingly important role in the biomedical domain...
Biomedical ontologies exist to serve integration of clinical and experimental data, and it is critic...
The meeting focused on uses of ontologies, with a special focus on spatial ontologies, in addressing...
Abstract—Worldwide health scientists are producing, access-ing, analyzing, integrating, and storing ...
Ontologies are widely used in biological and biomedical research. Their success lies in their combin...
After the completion of the Human Genome Project, a new, post genomic era, is beginning to analyze a...
Abstract: The recent achievements in the Human Genome Project have made possible a high-throughput “...
Successful biomedical data mining and information extraction require a complete picture of biologica...