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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |