A proposed metric for assessing the measurement quality of individual microarrays |
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| Authors: | Kyoungmi Kim Grier P Page T Mark Beasley Stephen Barnes Katherine E Scheirer David B Allison |
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| Institution: | (1) Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA;(2) Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, Alabama, USA;(3) Heflin Center for Human Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA |
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| Abstract: | Background High-density microarray technology is increasingly applied to study gene expression levels on a large scale. Microarray experiments
rely on several critical steps that may introduce error and uncertainty in analyses. These steps include mRNA sample extraction,
amplification and labeling, hybridization, and scanning. In some cases this may be manifested as systematic spatial variation
on the surface of microarray in which expression measurements within an individual array may vary as a function of geographic
position on the array surface. |
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