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Log-Linear Models for Gene Association
We describe a class of log-linear models for the detection of interactions in high-dimensional genomic data. This class of models leads to a Bayesian model selection algorithm that can be applied to data that have been reduced to contingency tables using ranks of observations within subjects, and di...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2719894/ https://ncbi.nlm.nih.gov/pubmed/19655032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/jasa.2009.0025 |
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