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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 TypeValue
Type of ResearchStrategic Basic Research
Research DivisionAgricultural, Veterinary and Food Sciences
Research GroupVeterinary sciences
Research FieldVeterinary parasitology
Research Objective DivisionEnvironmental Management
Research Objective GroupTerrestrial systems and management
Research Objective FieldControl of pests, diseases and exotic species in terrestrial environments
Visit Item on eCitehttp://ecite.utas.edu.au/149668
Digital Object Identifierdoi:10.1111/1755-0998.13495
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Number of Times Cited2