AIMC Topic: Knowledge Bases

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OWL-NETS: Transforming OWL Representations for Improved Network Inference.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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.)
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...

Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.

Bioinformatics (Oxford, England)
MOTIVATION: The concept of a 'mechanism-based taxonomy of human disease' is currently replacing the outdated paradigm of diseases classified by clinical appearance.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)
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...

Neuro-symbolic representation learning on biological knowledge graphs.

Bioinformatics (Oxford, England)
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
OBJECTIVE: To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice.

Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Loops are often vital for protein function, however, their irregular structures make them difficult to model accurately. Current loop modelling algorithms can mostly be divided into two categories: knowledge-based, where databases of frag...