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Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data
Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data. Despite their performance advantages, these methods can fail when the simulated training data does not adequately resemble data from the real world....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002701/ https://www.ncbi.nlm.nih.gov/pubmed/36909514 http://dx.doi.org/10.1101/2023.03.01.529396 |