Cargando…
A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values
BACKGROUND: The identification of gene–gene and gene–environment interactions in genome-wide association studies is challenging due to the unknown nature of the interactions and the overwhelmingly large number of possible combinations. Parametric regression models are suitable to look for prespecifi...
Autores principales: | Johnsen, Pål V., Riemer-Sørensen, Signe, DeWan, Andrew Thomas, Cahill, Megan E., Langaas, Mette |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097909/ https://www.ncbi.nlm.nih.gov/pubmed/33947323 http://dx.doi.org/10.1186/s12859-021-04041-7 |
Ejemplares similares
-
GPUTreeShap: massively parallel exact calculation of SHAP scores for tree ensembles
por: Mitchell, Rory, et al.
Publicado: (2022) -
Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method
por: Le, Thi-Thu-Huong, et al.
Publicado: (2022) -
Inferring feature importance with uncertainties with application to large genotype data
por: Johnsen, Pål Vegard, et al.
Publicado: (2023) -
An efficient ensemble method for missing value imputation in microarray gene expression data
por: Zhu, Xinshan, et al.
Publicado: (2021) -
Multiple consensus trees: a method to separate divergent genes
por: Guénoche, Alain
Publicado: (2013)