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Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarrays |
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| Authors: | Jeffrey?P?Townsend author-information" > author-information__contact u-icon-before" > mailto:Townsend@Nature.Berkeley.edu" title=" Townsend@Nature.Berkeley.edu" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author |
| Affiliation: | (1) Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA |
| Abstract: | BackgroundThe detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge requires careful examination of the performance of a range of statistical models, as well as empirical examination of the effect of replication on the power to resolve these differences. |
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