A proposed metric for assessing the measurement quality of individual microarrays

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. Results: We hypothesized that an index of the degree of spatiality of gene expression measurements associated with their physical geographic locations on an array could indicate the summary of the physical reliability of the microarray. We introduced a novel way to formulate this index using a statistical analysis tool. Our approach regressed gene expression intensity measurements on a polynomial response surface of the microarray's C...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Kyoungmi Kim, Grier P. Page, T. Mark Beasley, Stephen Barnes, Katherine E. Scheirer, David B. Allison
• Keywords: BMCBI 2006, Expression Measurements, Gene Expression, Gene Expression Measurements