| Fuh-Ngwa, V and Zhou, Y and Melton, PE and van der Mei, I and Charlesworth, JC and Lin, X and Zarghami, A and Broadley, SA and Ponsonby, A-L and Simpson-Yap, S and Lechner-Scott, J and Taylor, BV, “Ensemble machine learning identifies genetic loci associated with future worsening of disability in people with multiple sclerosis”, Scientific Reports, 12 (1) pp. 1-13. ISSN 2045-2322 (2022) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Biological Sciences |
| Research Group | Bioinformatics and computational biology |
| Research Field | Translational and applied bioinformatics |
| Research Objective Division | Health |
| Research Objective Group | Evaluation of health and support services |
| Research Objective Field | Evaluation of health outcomes |
| Visit Item on eCite | http://ecite.utas.edu.au/155423 |
| Digital Object Identifier | doi:10.1038/s41598-022-23685-w |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Downloads | 2 |
