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Activity Number:
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143
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309447 |
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Title:
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Normalization for Replicated MicroRNA Array Data with Spike-In Controls
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Author(s):
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Yuhua Su*+ and Joanne B. Weidhaas and Daniel Zelterman
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Companies:
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Yale University and Yale University and Yale University
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Address:
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25 York Street, School of Medicine, New Haven, CT, 06520,
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Keywords:
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microRNA array ; normalization ; triple-negative breast cancer ; spike-in control
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Abstract:
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Microarray experiments involve multiple readings of gene expression levels and have multiple sources of variation including scanner settings and background readings. Normalization refers to the process of identifying the sources of variation and handling the microarray data in such a way that the expression levels are biologically comparable between arrays or between the printed probes. We describe using the background level readings and spike-in controls to normalize the arrays. This work develops a transformation method to adjust the arrays so that linear relationships among probes will be preserved. The proposed method is illustrated using microRNA array data from a study of triple-negative (HR/PR/ER) breast cancer patients.
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