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Evaluation of tree-based statistical learning methods for constructing genetic risk scores
BACKGROUND: Genetic risk scores (GRS) summarize genetic features such as single nucleotide polymorphisms (SNPs) in a single statistic with respect to a given trait. So far, GRS are typically built using generalized linear models or regularized extensions. However, these linear methods are usually no...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935722/ https://www.ncbi.nlm.nih.gov/pubmed/35313824 http://dx.doi.org/10.1186/s12859-022-04634-w |