AIMC Topic: Knowledge Bases
Clear Filters Showing 641 to 650 of 706 articles
Health Care Leadership: Managing Knowledge Bases as Stakeholders.
The health care manager
Jan 1, 2018
Communities are composed of many organizations. These organizations naturally form clusters based on common patterns of knowledge, skills, and abilities of the individual organizations. Each of these spontaneous clusters represents a distinct knowled...
OWL-NETS: Transforming OWL Representations for Improved Network Inference.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2018
Our knowledge of the biological mechanisms underlying complex human disease is largely incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL), provide powerful techniques for representing existing knowledge, well-establi...
Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2018
The analysis of proteomics data can be significantly challenging. Beyond the technical challenges of accurately identifying and quantifying peptides, identifying the most biologically coherent set of biomarkers can be a particularly daunting step. In...
Increasing our knowledge base of asthma.
Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology
Dec 1, 2017
Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.
Bioinformatics (Oxford, England)
Nov 15, 2017
MOTIVATION: The concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance. We have tackled the paradigm of mechanism-based patient subgroup identification in th...
Reactome enhanced pathway visualization.
Bioinformatics (Oxford, England)
Nov 1, 2017
MOTIVATION: Reactome is a free, open-source, open-data, curated and peer-reviewed knowledge base of biomolecular pathways. Pathways are arranged in a hierarchical structure that largely corresponds to the GO biological process hierarchy, allowing the...
Two new computational methods for data analysis: A social network analysis-based classifier and the GEEORD SAS module.
Computer methods and programs in biomedicine
Oct 1, 2017
Neuro-symbolic representation learning on biological knowledge graphs.
Bioinformatics (Oxford, England)
Sep 1, 2017
MOTIVATION: Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are applicable to g...
Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2017
OBJECTIVE: To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice.
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