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Pathway analysis for family data using nested random-effects models
Recently we proposed a novel two-step approach to test for pathway effects in disease progression. The goal of this approach is to study the joint effect of multiple single-nucleotide polymorphisms that belong to certain genes. By using random effects, our approach acknowledges the correlations with...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2011
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3287857/ https://ncbi.nlm.nih.gov/pubmed/22373228 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-5-S9-S22 |
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