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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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2008
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| Témata: | |
| On-line přístup: | 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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