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Integrating phenotype ontologies with PhenomeNET.
Miguel Ángel Rodríguez-García
,
Georgios Gkoutos
, Paul Schofield
, Robert Hoehndorf
The Centre for Computational Biology
Cancer and Genomic Sciences
Research output
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peer-review
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Keyphrases
Phenotype Ontology
100%
PhenomeNET
100%
Ontology
60%
Automated Reasoning
60%
Pathophysiology
20%
Across Species
20%
Neoplasia
20%
Human Disease
20%
Causative Gene
20%
Nematode Worm
20%
Zebrafish
20%
Causative mutation
20%
Background Analysis
20%
Anatomical Complexity
20%
Model Organism Database
20%
Lexical Matching
20%
Disease Gene Prioritization
20%
Disease Ontology
20%
Lexicon-based Approach
20%
Biomedical Analysis
20%
Background Integration
20%
Biochemistry, Genetics and Molecular Biology
Nematode
100%
Zebra Fish
100%
Disease Ontology
100%
Fruit Fly
100%
Computer Science
Ontology
100%
Automated Reasoning
42%