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Empirical null distribution based modeling of multi-class differential gene expression detection
In this paper, we study the multi-class differential gene expression detection for microarray data. We propose a likelihood based approach to estimating an empirical null distribution to incorporate gene interactions and provide more accurate false positive control than the commonly used permutation...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3607635/ https://ncbi.nlm.nih.gov/pubmed/23538964 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2012.743976 |
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