The impact of quantitative optimization of hybridization conditions on gene expression analysis
BMC bioinformatics(2011)
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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