White Amanda M, Daly Don S, Zangar Richard C
Pacific Northwest National Laboratory, Richland, WA, USA.
Methods Mol Biol. 2011;694:191-211. doi: 10.1007/978-1-60761-977-2_13.
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).
我们的研究小组开发了用于定量酶联免疫吸附测定（ELISA）微阵列高通量分析的分析方法和软件。ELISA微阵列在几个基本方面与DNA微阵列不同，并且大多数用于分析DNA微阵列数据的算法不适用于ELISA微阵列。在本综述中，我们概述了ELISA微阵列数据分析所涉及的步骤，以及我们开发的具有统计学依据的算法如何提供一个集成软件套件来满足每个数据处理步骤的需求。所讨论的算法可在一组开源软件工具（http://www.pnl.gov/statistics/ProMAT）中获得。
