Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
15489 | Computational Biology and Chemistry | 2007 | 7 Pages |
Abstract
High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significant portion of the measured raw data. A number of statistical techniques have been developed to correct for this background noise. Here, we demonstrate that probe minimum folding energy and structure can be used to enhance a previously existing model for background noise correction. We estimate that probe secondary structure accounts for up to 3% of all variation on Affymetrix microarrays.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Raad Z. Gharaibeh, Anthony A. Fodor, Cynthia J. Gibas,