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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 - #310257 |
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Title:
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Model-Based Background Correction for Illumina Microarray Data
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Author(s):
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Yang Xie*+ and Lianghao Ding and Michael Story and Guanghua Xiao
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Companies:
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The University of Texas Southwestern Medical Center at Dallas and The University of Texas Southwestern Medical Center at Dallas and The University of Texas Southwestern Medical Center at Dallas and The University of Texas Southwestern Medical Center at Dallas
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Address:
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5323 Harry Hines Blvd., Dallas, TX, 75390-8590,
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Keywords:
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Illumina Microarray Data ; Background Correction ; RMA
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Abstract:
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Illumina Microarray platform become more and more popular due to its high quality and low cost. But the analysis methods for the Illumina array data are far behind than that of the Affymetrix GeneChip data and need to be improved extensively. One feature of illumine arrays is that its noise is controlled by beads conjugated with non-specific oligos. Illumina Inc. provides method to perform background subtraction using the average value of control beads. However, there has been report suggesting that these methods have negative impact on Illumina data quality. Here we propose a new model based method incorporating the negative control beads information into a statistical model for the background correction of Illumina arrays. Both the simulation and real data examples show the good performance of the new method.
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