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Activity Number:
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196
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309199 |
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Title:
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Selection and Validation of Normalization Methods for c-DNA Microarrays Using Within-Array Replications
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Author(s):
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Yue Niu*+ and Jianqing Fan
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Companies:
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Princeton University and Princeton University
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Address:
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Dept of Operations Research and, Princeton, NJ, 08544,
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Keywords:
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normalization ; validation test ; empirical Bayesian estimator ; genewise variance ; within-array replications ; cDNA microarray
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Abstract:
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Normalization of microarray data is essential for multiple-array comparisons. Several normalization protocols have been proposed based on different biological or statistical assumptions. A fundamental problem arises whether they have effectively normalized arrays. In addition, for a given array, the question arises naturally how to choose a method to most effectively normalize the microarray data. We propose a method to compare different normalization techniques. The test statistics involve estimating the genewise variances. This is accomplished by using several novel methods, including empirical Bayes methods for moderating the genewise variances between genes and the smoothing methods for aggregating variance information with similar intensity levels. And the P-values are estimated based on a normal or chi-square approximation. The method is illustrated by simulation and real data.
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