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The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based high-throughput data
BACKGROUND: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence approximation method. In addition, we divided h...
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2921412/ https://www.ncbi.nlm.nih.gov/pubmed/20684785 http://dx.doi.org/10.1186/1471-2105-11-412 |