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...

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Detalles Bibliográficos
Autores principales: Lau, Michael, Wigmann, Claudia, Kress, Sara, Schikowski, Tamara, Schwender, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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