SEAGLE: A Scalable Exact Algorithm for Large-Scale Set-Based Gene-Environment Interaction Tests in Biobank Data

The explosion of biobank data offers unprecedented opportunities for gene-environment interaction (GxE) studies of complex diseases because of the large sample sizes and the rich collection in genetic and non-genetic information. However, the extremely large sample size also introduces new computati...

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Detalles Bibliográficos
Autores principales: Chi, Jocelyn T., Ipsen, Ilse C. F., Hsiao, Tzu-Hung, Lin, Ching-Heng, Wang, Li-San, Lee, Wan-Ping, Lu, Tzu-Pin, Tzeng, Jung-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593472/
https://www.ncbi.nlm.nih.gov/pubmed/34795690
http://dx.doi.org/10.3389/fgene.2021.710055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593472/
https://www.ncbi.nlm.nih.gov/pubmed/34795690
http://dx.doi.org/10.3389/fgene.2021.710055

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