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Multivariate linkage analysis using the electrophysiological phenotypes in the COGA alcoholism data
Multivariate linkage analysis using several correlated traits may provide greater statistical power to detect susceptibility genes in loci whose effects are too small to be detected in univariate analysis. In this analysis, we apply a new approach and perform a linkage analysis of several electrophy...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2005
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1866820/ https://ncbi.nlm.nih.gov/pubmed/16451575 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-6-S1-S118 |
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