Neuro-symbolic methods integrating biomedical networks and ontologies for quantitative analysis of disease phenotypes and variants.
- Start
- 2021
- End
- 2023
- Tags
- neuro-symbolic AI, ontologies, knowledge graphs, complex disease, rare disease, ontology embeddings, variant prioritization, phenotype reasoning, cross-species
Connections
funded by borg:fundedBy
team borg:hasMember
publications borg:producedPub
- Exploring the Use of Ontology Components for Distantly-Supervised Disease and Phenotype Named Entity Recognition
- Improving the classification of cardinality phenotypes using collections
- The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients
- Neuro-Symbolic AI in Life Sciences
- Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase
- Starvar: symptom-based tool for automatic ranking of variants using evidence from literature and genomes
research topics borg:topic
Referenced by
on project borg:onProject
from project borg:fromProject
- mOWL
- EL Embeddings
- catE
- DELE
- EL2Box
- Onto2Graph
- UNMIREOT
- Exploring the Use of Ontology Components for Distantly-Supervised Disease and Phenotype Named Entity Recognition
- Improving the classification of cardinality phenotypes using collections
- The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients
- Neuro-Symbolic AI in Life Sciences
- Using SPARQL to Unify Queries over Data, Ontologies, and Machine Learning Models in the PhenomeBrowser Knowledgebase
- Starvar: symptom-based tool for automatic ranking of variants using evidence from literature and genomes
related projects borg:linkedProject
Open in the interactive graph →
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