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Statistical tools for synthesizing lists of differentially expressed features in related experiments
We propose a novel approach for finding a list of features that are commonly perturbed in two or more experiments, quantifying the evidence of dependence between the experiments by a ratio. We present a Bayesian analysis of this ratio, which leads us to suggest two rules for choosing a cut-off on th...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1896017/ https://www.ncbi.nlm.nih.gov/pubmed/17428330 http://dx.doi.org/10.1186/gb-2007-8-4-r54 |