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Robust Identification of Gene-environment Interactions for Prognosis Using a Quantile Partial Correlation Approach
Gene-environment (G-E) interactions have important implications for the etiology and progression of many complex diseases. Compared to continuous markers and categorical disease status, prognosis has been less investigated, with the additional challenges brought by the unique characteristics of surv...
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| Pubblicato in: | Genomics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6335188/ https://ncbi.nlm.nih.gov/pubmed/30009922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ygeno.2018.07.006 |
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