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DNA microarrays are a potentially powerful technology for improving diagnostic classification, treatment selection and prognostic assessment. There are, however, many potential pitfalls in the use of microarrays that result in false leads and erroneous conclusions. Effective use of this technology requires new levels of interdisciplinary collaboration with statistical and computational scientists. This paper provides a review of the key features to be observed in developing diagnostic and prognostic classification systems based upon gene expression profiling. It also attempts to outline some of the steps needed to develop initial microarray research findings into classification systems suitable for broad clinical application.
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Richard Simon (2003) studied this question.
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