Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670971/?tool=EBI |
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| _version_ | 1850059333797150720 |
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| author | Michael S. Bradshaw Connor Gibbs Skylar Martin Taylor Firman Alisa Gaskell Bailey Fosdick Ryan Layer |
| author_facet | Michael S. Bradshaw Connor Gibbs Skylar Martin Taylor Firman Alisa Gaskell Bailey Fosdick Ryan Layer |
| author_sort | Michael S. Bradshaw |
| collection | DOAJ |
| format | Article |
| id | doaj-art-e0820f1c723e48e7b8a59affc38672f7 |
| institution | DOAJ |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-e0820f1c723e48e7b8a59affc38672f72025-08-20T02:50:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologiesMichael S. BradshawConnor GibbsSkylar MartinTaylor FirmanAlisa GaskellBailey FosdickRyan Layerhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670971/?tool=EBI |
| spellingShingle | Michael S. Bradshaw Connor Gibbs Skylar Martin Taylor Firman Alisa Gaskell Bailey Fosdick Ryan Layer Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies PLoS ONE |
| title | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies |
| title_full | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies |
| title_fullStr | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies |
| title_full_unstemmed | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies |
| title_short | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies |
| title_sort | hypothesis generation for rare and undiagnosed diseases through clustering and classifying time versioned biological ontologies |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670971/?tool=EBI |
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