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ABSTRACT: Background
MiR arrays distinguish themselves from gene expression arrays by their more limited number of probes, and the shorter and less flexible sequence in probe design. Robust data processing and analysis methods tailored to the unique characteristics of miR arrays are greatly needed. Assumptions underlying commonly used normalization methods for gene expression microarrays containing tens of thousands or more probes may not hold for miR microarrays. Findings from previous studies have sometimes been inconclusive or contradictory. Further studies to determine optimal normalization methods for miR microarrays are needed.Methods
We evaluated many different normalization methods for data generated with a custom-made two channel miR microarray using two data sets that have
SUBMITTER: Zhao Y
PROVIDER: S-EPMC2917409 | biostudies-literature | 2010 Jul
REPOSITORIES: biostudies-literature