Analysis of High-Throughput ELISA Microarray Data
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).
Key wordsELISA Microarray Standard curve Bioinformatics Calibration ProMAT ELISA-BASE
This work was funded by the National Institute of Biomedical Imaging & Bioengineering (R01 EB006177) and by the National Cancer Institute (U01 CA117378).
- 7.Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, C.A., Causton, H.C., Gaasterland, T., Glenisson, P., Holstege, F.C., Kim, I. F., Markowitz, V., Matese, J.C., Parkinson, H., Robinson, A., Sarkans, U., Schulze-Kremer, S., Stewart, J., Taylor, R., Vilo, J., and Vingron, M. (2001) Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics 29, 365–371.PubMedCrossRefGoogle Scholar
- 8.Myers R.H. (1990) Classical and modern regression with applications. Boston, MA: PWS-KENT Publishing Company.Google Scholar