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k-BOOM: A Bayesian approach to ontology structure inference, with applications in disease ontology construction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/humu.22078openalex-snapshot
Representation of rare diseases in health information systems: The orphanet approach to serve a wide range of end users
inferredcites →https://doi.org/10.1007/11574620_39openalex-snapshot
OMEN: A Probabilistic Ontology Mapping Tool
inferredcites →https://doi.org/10.1016/j.eswa.2014.08.032openalex-snapshot
Ontology matching: A literature review
inferredcites →https://doi.org/10.1093/bioinformatics/btq099openalex-snapshot
Modeling sample variables with an Experimental Factor Ontology
inferredcites →https://doi.org/10.1093/nar/gkh073openalex-snapshot
Database resources of the National Center for Biotechnology Information: update
inferredcites →https://doi.org/10.1093/nar/gku1011openalex-snapshot
Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data
inferredcites →https://doi.org/10.1093/nar/gku1130openalex-snapshot
Database resources of the National Center for Biotechnology Information
inferredcites →https://doi.org/10.1093/nar/gku1205openalex-snapshot
OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-19433-7_33openalex-snapshot
Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
inferred← citeshttps://doi.org/10.1016/b978-3-437-21491-2.00001-9openalex-snapshot
Seltene Erkrankungen – ein Überblick
inferred← citeshttps://doi.org/10.1038/d41573-019-00180-yopenalex-snapshot
How many rare diseases are there?
inferred← citeshttps://doi.org/10.1038/s41597-023-01968-9openalex-snapshot
Developing a standardized but extendable framework to increase the findability of infectious disease datasets
inferred← citeshttps://doi.org/10.1038/s41597-025-06383-wopenalex-snapshot
A general strategy for generating expert-guided, simplified views of ontologies
inferred← citeshttps://doi.org/10.1093/database/baae014openalex-snapshot
The Immunopeptidomics Ontology (ImPO)
inferred← citeshttps://doi.org/10.1093/genetics/iyaf215openalex-snapshot
Mondo: integrating disease terminology across communities
inferred← citeshttps://doi.org/10.1093/nar/gkw1128openalex-snapshot
The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species
inferred← citeshttps://doi.org/10.1093/nar/gkz997openalex-snapshot
The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species
inferred← citeshttps://doi.org/10.1101/055756openalex-snapshot
The Monarch Initiative: An integrative data and analytic platform connecting phenotypes to genotypes across species
inferred← citeshttps://doi.org/10.1101/2022.04.13.22273750openalex-snapshot
Mondo: Unifying diseases for the world, by the world
inferred← citeshttps://doi.org/10.1146/annurev-biodatasci-080917-013459openalex-snapshot
A Census of Disease Ontologies
inferred← citeshttps://doi.org/10.1186/s12859-017-1979-zopenalex-snapshot
Comparison, alignment, and synchronization of cell line information between CLO and EFO
inferred← citeshttps://doi.org/10.1534/genetics.116.188870openalex-snapshot
Navigating the Phenotype Frontier: The Monarch Initiative
inferred← citeshttps://doi.org/10.17863/cam.50088openalex-snapshot
Predictive Modelling of the Primary and Secondary Pharmacology of Compounds in Drug Discovery
inferred← citeshttps://doi.org/10.5120/ijca2016911665openalex-snapshot
A Hybridized Framework for Ontology Modeling incorporating Latent Semantic Analysis and Content based Filtering
inferred← citeshttps://doi.org/10.70675/1505b868zbf3dz407bz8328z6f73db1db5abopenalex-snapshot
Knowledge Discovery Considering Domain Literature and Ontologies : Application to Rare Diseases
inferred← citeshttps://doi.org/10.70675/d2a1ff1az6eb0z4e5bz9042za660c9561461openalex-snapshot
Apport des ontologies de domaine pour l'extraction de connaissances à partir de données biomédicales
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