Predicting biomolecule-disease associations based on machine learning approaches
| dc.contributor.committeeMember | Chen, Daniel | |
| dc.contributor.committeeMember | McQuillan, Ian | |
| dc.contributor.committeeMember | Jin, Lingling | |
| dc.contributor.committeeMember | Vizeacoumar, Franco | |
| dc.creator | Ding, Yulian | |
| dc.date.accessioned | 2022-02-17T00:16:56Z | |
| dc.date.created | 2022-04 | |
| dc.date.issued | 2022-02-16 | |
| dc.date.submitted | April 2022 | |
| dc.date.updated | 2022-02-17T00:16:57Z | |
| dc.description.abstract | This item is under an embargo. Access to the abstract will not be permitted until 2024-02-16 | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/10388/13819 | |
| dc.subject | microRNA, circRNA, lncRNA, biomolecule-disease association, prediction, machine learning | |
| dc.title | Predicting biomolecule-disease associations based on machine learning approaches | |
| dc.type | Thesis | |
| dc.type.material | text | |
| local.embargo.lift | 2024-02-16 | |
| local.embargo.terms | 2024-02-16 | |
| thesis.degree.department | Biomedical Engineering | |
| thesis.degree.discipline | Biomedical Engineering | |
| thesis.degree.grantor | University of Saskatchewan | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy (Ph.D.) |