Activity Number:
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154
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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 - #309508 |
Title:
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Reproducibility of Microarray Data: A Further Analysis of Microarray Quality Control Data
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Author(s):
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Chien-Ju Lin*+ and James J. Chen and Huey-Miin Hsueh and Robert R. Delongchamp and Chen-An Tsai
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Companies:
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National Center for Toxicological Research and Food and Drug Administration and National Chengchi University and National Center for Toxicological Research and Academia Sinica
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Address:
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FDA, 3900 NCTR RD, Jefferson, AR, 72079,
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Keywords:
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interplatform comparability ; microarray platform reproducibility ; titration mixture ; gene selection
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Abstract:
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The MicroArray Quality Control (MAQC) data provide an opportunity to assess reproducibility of gene expression data across multiple sites and multiple platforms. We evaluate 12091 common genes for four titration samples generated from five microarray platforms tested in three sites with five technical replicates. A total of 293 arrays is analyzed in the intra- and inter-platform comparisons. Hierarchical cluster analysis and analysis of variance models are used to assess reproducibility and consistency of the measured intensities. There are differences in intensities measured among the five platforms. Within each platform, all five platforms can well distinguish the four samples, but there are strong site effects. The four titration samples follow the concentration response relationship.
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