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The impact of quantitative optimization of hybridization conditions on gene expression analysis

BMC bioinformatics(2011)

Cited 63|Views11
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Abstract
With the growing availability of entire genome sequences, an increasing number of scientists can exploit oligonucleotide microarrays for genome-scale expression studies. While probe-design is a major research area, relatively little work has been reported on the optimization of microarray protocols.
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Key words
Suboptimal Condition,Misclassification Cost,Rank Distribution,Hybridization Temperature,Generalization Accuracy
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