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Activity Number:
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63
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #310334 |
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Title:
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ANCOVA-Based Normalization Method for cDNA Microarrays
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Author(s):
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Natalia Tchetcherina*+ and James L. Rosenberger
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Companies:
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The Pennsylvania State University and The Pennsylvania State University
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Address:
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326 Thomas Building University Park, State College, PA, 16802,
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Keywords:
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normalization ; quality control plots ; ANCOVA ; LSmeans ; profile plots ; linear model
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Abstract:
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Normalization is one of important and challenging procedures in the analysis of microarray data. In this paper, we propose using ANCOVA instead of normalization. As a covariate we propose to take the median of spiking control spots or other genes that do not belong to the investigated organism and suppose to be unchanged under treatments. Our method does not have assumption on how many genes are expected to be differentially expressed. The method does not require a fixed number of control spots per array. Even small number of the control spots is enough to use as a covariate. The method can be used for different experiment designs. It can be used for nonlinear models.
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