Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies.
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| Title: | Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies. |
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| Authors: | Bradshaw MS; Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States of America., Gibbs C; Department of Statistics, Colorado State University, Fort Collins, CO, United States of America., Martin S; Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States of America., Firman T; Precision Medicine Institute, Children's Hospital Colorado, Aurora, CO, United States of America., Gaskell A; Precision Medicine Institute, Children's Hospital Colorado, Aurora, CO, United States of America., Fosdick B; Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO, United States of America., Layer R; Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States of America. |
| Source: | PloS one [PLoS One] 2024 Dec 26; Vol. 19 (12), pp. e0309205. Date of Electronic Publication: 2024 Dec 26 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0309205 |
