Overlapping group screening for detection of gene-environment interactions with application to TCGA high-dimensional survival genomic data
Abstract 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 identi...
| Published in: | BMC Bioinformatics |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-05-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-022-04750-7 |
