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Article

Rosetta error model for gene expression analysis.

Bioinformatics (Oxford, England) - 1 May 2006

Weng Lee, Dai Hongyue, Zhan Yihui, He Yudong, Stepaniants Sergey B, Bassett Douglas E

Abstract excerpt

MOTIVATION: In microarray gene expression studies, the number of replicated microarrays is usually small because of cost and sample availability, resulting in unreliable variance estimation and thus unreliable statistical hypothesis tests. The unreliable variance estimation is further complicated by the fact that the technology-specific variance is intrinsically intensity-dependent. RESULTS: The Rosetta error...

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PMID: 16522673
DOI: 10.1093/bioinformatics/btl045

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