Our research group develops analytical methods and software for the high-throughput analysis of quantitative enzyme-linked immunosorbent assay (ELISA) microarrays. ELISA microarrays differ from DNA microarrays in several fundamental aspects and most algorithms for analysis of DNA microarray data are not applicable to ELISA microarrays. In this review, we provide an overview of the steps involved in ELISA microarray data analysis and how the statistically sound algorithms we have developed provide an integrated software suite to address the needs of each data-processing step. The algorithms discussed are available in a set of open-source software tools (http://www.pnl.gov/statistics/ProMAT).
Revised: February 24, 2011 |
Published: February 23, 2011
Citation
White A.M., D.S. Daly, and R.C. Zangar. 2011.Analysis of High-Throughput ELISA Microarray Data. In Bioinformatics for Comparative Proteomics, Methods in Molecular Biology, edited by CH Wu and C Chen. 191-211. New York, New York:Humana Press.PNNL-SA-69834.