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A Comparison of Multifactor Dimensionality Reduction and L(1)-Penalized Regression to Identify Gene-Gene Interactions in Genetic Association Studies*
Recently, the amount of high-dimensional data has exploded, creating new analytical challenges for human genetics. Furthermore, much evidence suggests that common complex diseases may be due to complex etiologies such as gene-gene interactions, which are difficult to identify in high-dimensional dat...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Berkeley Electronic Press
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3045083/ https://ncbi.nlm.nih.gov/pubmed/21291414 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2202/1544-6115.1613 |
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