Microarray data normalization and transformation
Copyright policy )Microarray data normalization and transformation
Underlying every microarray experiment is an experimental question that one would like to address. Finding a useful and satisfactory answer relies on careful experimental design and the use of a variety of data-mining tools to explore the relationships between genes or reveal patterns of expression. While other sections of this issue deal with these lofty issues, this review focuses on the much more mundane but indispensable tasks of 'normalizing' data from individual hybridizations to make meaningful comparisons of expression levels, and of 'transforming' them to select genes for further analysis and data mining.
Research Design, Data Interpretation, Statistical, Gene Expression Profiling, Animals, Humans, Forecasting, Oligonucleotide Array Sequence Analysis
Research Design, Data Interpretation, Statistical, Gene Expression Profiling, Animals, Humans, Forecasting, Oligonucleotide Array Sequence Analysis
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