Evaluating concentration estimation errors in ELISA microarray experiments |
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| Authors: | Don?Simone?Daly mailto:DS.Daly@PNL.gov" title=" DS.Daly@PNL.gov" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Amanda?M?White,Susan?M?Varnum,Kevin?K?Anderson,Richard?C?Zangar |
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| Affiliation: | (1) Statistical and Mathematical Sciences, Pacific Northwest National Laboratory, PO Box 999, Richland, WA, USA;(2) Biological Sciences, Pacific Northwest National Laboratory, PO Box 999, Richland, WA, USA |
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| Abstract: | ![]()
Background Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format permits simultaneous estimation of the concentrations of numerous proteins in a small sample. These estimates, however, are uncertain due to processing error and biological variability. Evaluating estimation error is critical to interpreting biological significance and improving the ELISA microarray process. Estimation error evaluation must be automated to realize a reliable high-throughput ELISA microarray system. |
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