| Fountain-Jones, NM and Kozakiewicz, CP and Forester, BR and Landguth, EL and Carver, S and Charleston, M and Gagne, RB and Greenwell, B and Kraberger, S and Trumbo, DR and Mayer, M and Clark, NJ and Machado, G, “MrIML: Multi-response interpretable machine learning to model genomic landscapes”, Molecular Ecology Resources, 21 (8) pp. 2766-2781. ISSN 1755-098X (2021) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Strategic Basic Research |
| Research Division | Agricultural, Veterinary and Food Sciences |
| Research Group | Veterinary sciences |
| Research Field | Veterinary parasitology |
| Research Objective Division | Environmental Management |
| Research Objective Group | Terrestrial systems and management |
| Research Objective Field | Control of pests, diseases and exotic species in terrestrial environments |
| Visit Item on eCite | http://ecite.utas.edu.au/149668 |
| Digital Object Identifier | doi:10.1111/1755-0998.13495 |
| 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® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 5 |
