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A machine-learning approach to map landscape connectivity in Aedes aegypti with genetic and environmental data
Mapping landscape connectivity is important for controlling invasive species and disease vectors. Current landscape genetics methods are often constrained by the subjectivity of creating resistance surfaces and the difficulty of working with interacting and correlated environmental variables. To ove...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936321/ https://www.ncbi.nlm.nih.gov/pubmed/33619083 http://dx.doi.org/10.1073/pnas.2003201118 |