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Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
BACKGROUND: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increasingly popular to solve this type of problems. These models show good performance in accommodating noise, variability and...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2259410/ https://ncbi.nlm.nih.gov/pubmed/18315862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-S1-S9 |
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