Hypothesis generation for rare and undiagnosed diseases through clustering and classifying time-versioned biological ontologies
Saved in:
| Main Authors: | Michael S. Bradshaw, Connor Gibbs, Skylar Martin, Taylor Firman, Alisa Gaskell, Bailey Fosdick, Ryan Layer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11670971/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ontology-guided clustering enables proteomic analysis of rare pediatric disorders
by: Ericka C M Itang, et al.
Published: (2025-05-01) -
Relapse of indurative tuberculosis of the skin of the lower extremities against the background of undiagnosed spontaneously cured pulmonary tuberculosis
by: Zanna Bialoszycka, et al.
Published: (2025-04-01) -
Clinical case of hemophagocytic lymphohistiocytosis: rare or undiagnosed syndrome?
by: O. B. Yaremenko, et al.
Published: (2023-03-01) -
An ontological framework for organising and describing behaviours: The Human Behaviour Ontology [version 2; peer review: 1 approved, 2 approved with reservations]
by: Alison J. Wright, et al.
Published: (2025-06-01) -
Undiagnosed Abdominal Term Pregnancy with Good Neonatal Outcome
by: Phoy Cheng Chun, et al.
Published: (2019-01-01)