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Human genotype-to-phenotype predictions: Boosting accuracy with nonlinear models
Genotype-to-phenotype prediction is a central problem of human genetics. In recent years, it has become possible to construct complex predictive models for phenotypes, thanks to the availability of large genome data sets as well as efficient and scalable machine learning tools. In this paper, we mak...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432766/ https://www.ncbi.nlm.nih.gov/pubmed/36044406 http://dx.doi.org/10.1371/journal.pone.0273293 |