Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data

BACKGROUND: In the context of biomedical and epidemiological research, gene-environment (G-E) interaction is of great significance to the etiology and progression of many complex diseases. In high-dimensional genetic data, two general models, marginal and joint models, are proposed to identify impor...

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Detalles Bibliográficos
Autores principales: Wang, Jie-Huei, Wang, Kang-Hsin, Chen, Yi-Hau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150322/
https://www.ncbi.nlm.nih.gov/pubmed/35637439
http://dx.doi.org/10.1186/s12859-022-04750-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150322/
https://www.ncbi.nlm.nih.gov/pubmed/35637439
http://dx.doi.org/10.1186/s12859-022-04750-7

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