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Microarray-based expression profiling and informatics
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DOI：10.1016/j.copbio.2007.10.008.png)
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Abstract
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Microarray-based expression profiling is a powerful technology for studying biological mechanisms and for developing clinically valuable predictive classifiers. The high-dimensional read-out for each sample assayed makes it possible to do new kinds of studies but also increases the risks of misleading conclusions. We review here the current state-of-the-art for design and analysis of microarray-based investigations.
Keywords:
GENE-EXPRESSION
ERROR ESTIMATION
CLASSIFICATION
EXTRACTION
MODEL
BIAS
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